PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?personLabel ?rating ?date WHERE {
  ?person wdt:P31 wd:Q5 .
  {
    SELECT ?person ( MAX( ?date ) AS ?maxDate ) WHERE {
      ?person p:P1087 ?stmt .
      ?stmt pq:P585 ?date .
      FILTER ( ?date >= "2023-01-01T00:00:00Z" ^^ xsd:dateTime && ?date < "2023-02-01T00:00:00Z" ^^ xsd:dateTime )
    }
    GROUP BY ?person
  }
  ?person p:P1087 ?stmt2 .
  ?stmt2 ps:P1087 ?rating .
  ?stmt2 pq:P585 ?date .
  FILTER ( ?date = ?maxDate ) OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY DESC ( xsd:decimal ( ?rating ) )
LIMIT 100

Using entities:
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- Elo rating (wd:P1087 as p/ps), also known as P1087: quantitative measure of one's game-playing ability, particularly in chess / quantitative measure of one's game-playing ability, particularly in classical chess
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform
- point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                              | personLabel                      | rating             | date                                |
| ----------------------------------- | -------------------------------- | ------------------ | ----------------------------------- |
| Yu Yangyi (wd:Q377866)              | Yu Yangyi (lang:en)              | 2729 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Francisco Vallejo Pons (wd:Q543256) | Francisco Vallejo Pons (lang:en) | 2710 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Hans Niemann (wd:Q59137809)         | Hans Niemann (lang:en)           | 2706 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Kirill Alekseenko (wd:Q18923582)    | Kirill Alekseenko (lang:en)      | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Amin Tabatabaei (wd:Q23710569)      | Amin Tabatabaei (lang:en)        | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 | ...                              | ...                | ...                                 |
| Nikolas Theodorou (wd:Q27533120)    | Nikolas Theodorou (lang:en)      | 2590 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Shamsiddin Vokhidov (wd:Q27533974)  | Shamsiddin Vokhidov (lang:en)    | 2589 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Viktor Erdős (wd:Q2524265)          | Viktor Erdős (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Ivan Sokolov (wd:Q709548)           | Ivan Sokolov (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Peter Michalík (wd:Q539326)         | Peter Michalík (lang:en)         | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |

Answer:
I executed the SPARQL query above on Wikidata and retrieved the top 100 humans with Elo rating statements dated in January 2023, ordered by Elo rating (descending). The query returns for each person: their Wikidata IRI, English label, rating value, and the point-in-time date (pq:P585) in January 2023.

Summary / sample of results (top and bottom of the returned list):
1) wd:Q377866 — Yu Yangyi — 2729 — 2023-01-01T00:00:00Z
2) wd:Q543256 — Francisco Vallejo Pons — 2710 — 2023-01-01T00:00:00Z
3) wd:Q59137809 — Hans Niemann — 2706 — 2023-01-01T00:00:00Z
4) wd:Q18923582 — Kirill Alekseenko — 2686 — 2023-01-01T00:00:00Z
5) wd:Q23710569 — Amin Tabatabaei — 2686 — 2023-01-01T00:00:00Z
...
96) wd:Q27533120 — Nikolas Theodorou — 2590 — 2023-01-01T00:00:00Z
97) wd:Q27533974 — Shamsiddin Vokhidov — 2589 — 2023-01-01T00:00:00Z
98) wd:Q2524265 — Viktor Erdős — 2588 — 2023-01-01T00:00:00Z
99) wd:Q709548 — Ivan Sokolov — 2588 — 2023-01-01T00:00:00Z
100) wd:Q539326 — Peter Michalík — 2588 — 2023-01-01T00:00:00Z

If you want the full 100-row table in CSV, JSON, or as a pasted full table in this chat, I can provide it. The SPARQL query above is the exact query I ran; you can reproduce the results by running it against Wikidata. If you prefer a different interpretation (for example: use the first rating in January 2023 instead of the latest in the month, or use FIDE monthly list snapshots), tell me and I will adapt the query.

I executed the SPARQL query above on Wikidata and retrieved the top 100 humans with Elo rating statements dated in January 2023, ordered by Elo rating (descending). The query returns for each person: their Wikidata IRI, English label, rating value, and the point-in-time date (pq:P585) in January 2023.

Summary / sample of results (top and bottom of the returned list):
1) wd:Q377866 — Yu Yangyi — 2729 — 2023-01-01T00:00:00Z
2) wd:Q543256 — Francisco Vallejo Pons — 2710 — 2023-01-01T00:00:00Z
3) wd:Q59137809 — Hans Niemann — 2706 — 2023-01-01T00:00:00Z
4) wd:Q18923582 — Kirill Alekseenko — 2686 — 2023-01-01T00:00:00Z
5) wd:Q23710569 — Amin Tabatabaei — 2686 — 2023-01-01T00:00:00Z
...
96) wd:Q27533120 — Nikolas Theodorou — 2590 — 2023-01-01T00:00:00Z
97) wd:Q27533974 — Shamsiddin Vokhidov — 2589 — 2023-01-01T00:00:00Z
98) wd:Q2524265 — Viktor Erdős — 2588 — 2023-01-01T00:00:00Z
99) wd:Q709548 — Ivan Sokolov — 2588 — 2023-01-01T00:00:00Z
100) wd:Q539326 — Peter Michalík — 2588 — 2023-01-01T00:00:00Z

If you want the full 100-row table in CSV, JSON, or as a pasted full table in this chat, I can provide it. The SPARQL query above is the exact query I ran; you can reproduce the results by running it against Wikidata. If you prefer a different interpretation (for example: use the first rating in January 2023 instead of the latest in the month, or use FIDE monthly list snapshots), tell me and I will adapt the query.

SPARQL query over wikidata:
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?personLabel ?rating ?date WHERE {
  ?person wdt:P31 wd:Q5 .
  {
    SELECT ?person ( MAX( ?date ) AS ?maxDate ) WHERE {
      ?person p:P1087 ?stmt .
      ?stmt pq:P585 ?date .
      FILTER ( ?date >= "2023-01-01T00:00:00Z" ^^ xsd:dateTime && ?date < "2023-02-01T00:00:00Z" ^^ xsd:dateTime )
    }
    GROUP BY ?person
  }
  ?person p:P1087 ?stmt2 .
  ?stmt2 ps:P1087 ?rating .
  ?stmt2 pq:P585 ?date .
  FILTER ( ?date = ?maxDate ) OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY DESC ( xsd:decimal ( ?rating ) )
LIMIT 100

Using entities:
- human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / is subclass of mammal / is subclass of natural person / is subclass of omnivore / is subclass of person / is subclass of individual animal / any member of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo / common name of Homo sapiens, unique extant species of the genus Homo, from embryo to adult

Using properties:
- Elo rating (wd:P1087 as p/ps), also known as P1087: quantitative measure of one's game-playing ability, particularly in chess / quantitative measure of one's game-playing ability, particularly in classical chess
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform
- point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Execution result:
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                              | personLabel                      | rating             | date                                |
| ----------------------------------- | -------------------------------- | ------------------ | ----------------------------------- |
| Yu Yangyi (wd:Q377866)              | Yu Yangyi (lang:en)              | 2729 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Francisco Vallejo Pons (wd:Q543256) | Francisco Vallejo Pons (lang:en) | 2710 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Hans Niemann (wd:Q59137809)         | Hans Niemann (lang:en)           | 2706 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Kirill Alekseenko (wd:Q18923582)    | Kirill Alekseenko (lang:en)      | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Amin Tabatabaei (wd:Q23710569)      | Amin Tabatabaei (lang:en)        | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 | ...                              | ...                | ...                                 |
| Nikolas Theodorou (wd:Q27533120)    | Nikolas Theodorou (lang:en)      | 2590 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Shamsiddin Vokhidov (wd:Q27533974)  | Shamsiddin Vokhidov (lang:en)    | 2589 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Viktor Erdős (wd:Q2524265)          | Viktor Erdős (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Ivan Sokolov (wd:Q709548)           | Ivan Sokolov (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Peter Michalík (wd:Q539326)         | Peter Michalík (lang:en)         | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- imdb: <https://www.imdb.com/
- math: <http://www.w3.org/2005/xpath-functions/math#
- ontolex: <http://www.w3.org/ns/lemon/ontolex#
- owl: <http://www.w3.org/2002/07/owl#
- p: <http://www.wikidata.org/prop/
- pq: <http://www.wikidata.org/prop/qualifier/
- pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
- pqv: <http://www.wikidata.org/prop/qualifier/value/
- pr: <http://www.wikidata.org/prop/reference/
- prn: <http://www.wikidata.org/prop/reference/value-normalized/
- prov: <http://www.w3.org/ns/prov#
- prv: <http://www.wikidata.org/prop/reference/value/
- ps: <http://www.wikidata.org/prop/statement/
- psn: <http://www.wikidata.org/prop/statement/value-normalized/
- psv: <http://www.wikidata.org/prop/statement/value/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
- rdfs: <http://www.w3.org/2000/01/rdf-schema#
- ref: <http://www.wikidata.org/reference/
- s: <http://www.wikidata.org/entity/statement/
- schema: <http://schema.org/
- skos: <http://www.w3.org/2004/02/skos/core#
- v: <http://www.wikidata.org/value/
- void: <http://rdfs.org/ns/void#
- wd: <http://www.wikidata.org/entity/
- wdno: <http://www.wikidata.org/prop/novalue/
- wdt: <http://www.wikidata.org/prop/direct/
- wdtn: <http://www.wikidata.org/prop/direct-normalized/
- wikibase: <http://wikiba.se/ontology#
- xsd: <http://www.w3.org/2001/XMLSchema#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who were the top 100 people with the highest Elo ratings in January 2023? Please include their Elo rating, and order by their Elo rating in descending order.

[Assistant]
Plan:
1. Search Wikidata for properties related to "Elo" or "Elo rating".
2. Inspect which property is used for chess ratings (likely FIDE rating) and how ratings are modeled (maybe wdt:P...).
3. Build a SPARQL query to retrieve humans (wdt:P31 wd:Q5) who had an Elo rating with point-in-time qualifier in January 2023, get the rating value and order by rating desc, limit 100.
4. Execute intermediate searches/queries and refine.

I'll first search for properties matching "Elo".

Question: Elo

Top 10 property alternatives:
1. Elo rating (wd:P1087 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as P1087: quantitative measure of one's game-playing ability, particularly in classical chess / quantitative measure of one's game-playing ability, particularly in chess
2. tensile modulus of elasticity (wd:P5480 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via E), also known as E, elasticity modulus, elastic modulus, tensile modulus, Young's modulus, etc.: material proprety linking the elastic deformation to the yield strengh.
3. GNU ELPA package ID (wd:P6823 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via ELPA), also known as elpa, ELPA, P6823: identifier for a software package in the GNU ELPA archive
4. ELF code (wd:P10421 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via GLEI ELF), also known as entity legal form ID, GLEI ELF, GLEIF ELF code, P10421: code for entity legal form (ELF), assigned by the Global Legal Entity Identifier Foundation (GLEIF) per ISO 20275
5. participant (wd:P710 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via player), also known as accused, agent, attendee, belligerents, between, etc.: person, group of people or organization (object) that ... has role" (P3831). Use P1923 for participants that are teams. / person, group of people or organization that actively takes/took part in the event / is subproperty of significant person
6. winner (wd:P1346 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via champion), also known as 1st place medalist, awardee, champ, champion, has winner, etc.: winner of a competition or similar event, not to be used for ... qualified with "for work" (P1686)) or for wars or battles / winner of an event - do not use for awards (use P166 instead), nor for wars or battles / is subproperty of participating team / is subproperty of participant
7. upper flammable limit (wd:P2203 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via UEL), also known as UEL, UFL, upper explosive limit, P2203: upper bound of the concentration range over which a flammable ... air can be ignited at a given temperature and pressure (0-1) / is subproperty of upper limit
8. toughness (wd:P5520 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via Izod), also known as Charpy, choc, impact, impact resistance, impact strengh, etc.: material property measuring the ability of a material to absorb energy and plastically deform without fracturing
9. universal equine life number (wd:P9544 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via UELN), also known as UELN, P9544: unique identification number of an individual horse or other equine animal used in Europe
10. set in period (wd:P2408 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via era), also known as era, era of setting, era set in, features event, narrative period, etc.: historical, contemporary, or future period, year, century or ... or genre is set in or event featured in the story of the work / historical period the work is set in

[Assistant]
I'll search for Magnus Carlsen to inspect how Elo ratings are stored (which qualifiers, point-in-time etc.). Then I'll list his P1087 statements.

Question: Magnus Carlsen

Top 10 entity alternatives:
1. Magnus Carlsen (wd:Q106807), also known as Magnus Øen Carlsen, Sven Magnus Øen Carlsen: has occupation chess player / Norwegian chess player / is instance of human / chess player
2. Magnus Carlsen Tour (wd:Q96317035), also known as Magnus Carlsen Chess Tour: series of elite chess tournaments in 2020 / is instance of chess tournament
3. Magnus Carlsen Invitational (wd:Q91019133): is instance of chess tournament / 2020 online chess tournament
4. Magnus Carlsen Chess Tour Finals (wd:Q98228298): is instance of chess tournament
5. Charles the Great (wd:Q3044, matched via Carlus Magnus), also known as Carlus Magnus, Carolus Magnus, Charlemagne, Charlemagne the Franc, Charles I, etc.: king of Franks, regarded as the first Holy Roman Emperor (747–814) / king of Franks, regarded as the first Holy Roman Emperor (747–814) / King of the Franks, King of Italy, and Holy Roman Emperor / has occupation sovereign / has occupation Monarch / has occupation monarch / is instance of human
6. Gregory I (wd:Q42827, matched via Gregorius Magnus), also known as Gregorius Anicius, Gregorius Magnus, Gregory, Gregory the Great, Gregory The Great, etc.: 64th Bishop of Rome, Head of the Roman Catholic Church from 590 to 604 / has occupation Latin Catholic priest / has occupation diplomat / has occupation writer / is instance of human
7. Pompey (wd:Q125414, matched via Pompey Magnus), also known as Cn. Pompeius Magnus, Gnaeus Pompeius Magnus, Pompey Magnus, Pompey the Great: has occupation ancient Roman military personnel / has occupation Ancient Roman politician / Roman general and statesman (106–48 BC) / Roman general and statesman (106–48 BC) / has occupation politician / is instance of human
8. Basil of Caesarea (wd:Q44258, matched via Basilius Magnus), also known as Basilius Magnus, Saint Basil the Great, St. Basil The Great: 4th-century Christian bishop, theologian, and saint / has occupation Catholic bishop / has occupation catholic bishop / has occupation Catholic deacon / has occupation Catholic priest / has occupation Philosopher / has occupation philosopher / has occupation theologian / has occupation archbishop / has occupation Archbishop / has occupation writer / is instance of human
9. Albertus Magnus (wd:Q60059), also known as Albert of Cologne, Albert of Lauingen, Albert the Great, Albertus Alemannus, Albertus Bolstadius, etc.: German-Dominican friar and saint (c. 1200–1280) / has occupation catholic bishop / has occupation Catholic bishop / has occupation entomologist / has occupation musicologist / has occupation philosopher / has occupation Philosopher / has occupation theologian / has occupation geographer / has occupation Astrologer / has occupation astrologer / has occupation economist / has occupation Economist / has occupation botanist / has occupation chemist / has occupation teacher / has occupation Chemist / has occupation writer / is instance of human
10. Otto I the Great (wd:Q43915, matched via Otto Magnus), also known as Otto I, Otto I, Holy Roman Emperor, Otto I Magnus, Otto I 'the Great', Holy Roman Emperor (962-973), Otto Magnus, etc.: Holy Roman Emperor from 962 to 973 / has occupation ruler / is instance of human

[Assistant]
I'll list P1087 (Elo rating) statements for Magnus Carlsen to see how point-in-time is represented.

list

wd:Q106807

[Assistant]
I'll run a SPARQL query that:
- Finds human items (wdt:P31 wd:Q5) with Elo rating statements (p:P1087) that have a point-in-time qualifier (pq:P585) in January 2023.
- For each person picks the latest rating statement in that month (max pq:P585).
- Returns the person's IRI, English label, the rating value and the date, ordered by rating descending and limited to 100.

Now I will execute that query.

execute

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT ?person ?personLabel ?rating ?date WHERE {
  ?person wdt:P31 wd:Q5 .
  {
    SELECT ?person (MAX(?date) AS ?maxDate) WHERE {
      ?person p:P1087 ?stmt .
      ?stmt pq:P585 ?date .
      FILTER( ?date >= "2023-01-01T00:00:00Z"^^xsd:dateTime && ?date < "2023-02-01T00:00:00Z"^^xsd:dateTime )
    } GROUP BY ?person
  }
  ?person p:P1087 ?stmt2 .
  ?stmt2 ps:P1087 ?rating .
  ?stmt2 pq:P585 ?date .
  FILTER(?date = ?maxDate)
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
ORDER BY DESC(xsd:decimal(?rating))
LIMIT 100

Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                              | personLabel                      | rating             | date                                |
| ----------------------------------- | -------------------------------- | ------------------ | ----------------------------------- |
| Yu Yangyi (wd:Q377866)              | Yu Yangyi (lang:en)              | 2729 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Francisco Vallejo Pons (wd:Q543256) | Francisco Vallejo Pons (lang:en) | 2710 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Hans Niemann (wd:Q59137809)         | Hans Niemann (lang:en)           | 2706 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Kirill Alekseenko (wd:Q18923582)    | Kirill Alekseenko (lang:en)      | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Amin Tabatabaei (wd:Q23710569)      | Amin Tabatabaei (lang:en)        | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 | ...                              | ...                | ...                                 |
| Nikolas Theodorou (wd:Q27533120)    | Nikolas Theodorou (lang:en)      | 2590 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Shamsiddin Vokhidov (wd:Q27533974)  | Shamsiddin Vokhidov (lang:en)    | 2589 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Viktor Erdős (wd:Q2524265)          | Viktor Erdős (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Ivan Sokolov (wd:Q709548)           | Ivan Sokolov (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Peter Michalík (wd:Q539326)         | Peter Michalík (lang:en)         | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
I'll re-run the same SPARQL query to retrieve the full 100 rows so I can include the complete ordered list in the final answer.

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT ?person ?personLabel ?rating ?date WHERE {
  ?person wdt:P31 wd:Q5 .
  {
    SELECT ?person (MAX(?date) AS ?maxDate) WHERE {
      ?person p:P1087 ?stmt .
      ?stmt pq:P585 ?date .
      FILTER( ?date >= "2023-01-01T00:00:00Z"^^xsd:dateTime && ?date < "2023-02-01T00:00:00Z"^^xsd:dateTime )
    } GROUP BY ?person
  }
  ?person p:P1087 ?stmt2 .
  ?stmt2 ps:P1087 ?rating .
  ?stmt2 pq:P585 ?date .
  FILTER(?date = ?maxDate)
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
ORDER BY DESC(xsd:decimal(?rating))
LIMIT 100

Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                              | personLabel                      | rating             | date                                |
| ----------------------------------- | -------------------------------- | ------------------ | ----------------------------------- |
| Yu Yangyi (wd:Q377866)              | Yu Yangyi (lang:en)              | 2729 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Francisco Vallejo Pons (wd:Q543256) | Francisco Vallejo Pons (lang:en) | 2710 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Hans Niemann (wd:Q59137809)         | Hans Niemann (lang:en)           | 2706 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Kirill Alekseenko (wd:Q18923582)    | Kirill Alekseenko (lang:en)      | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Amin Tabatabaei (wd:Q23710569)      | Amin Tabatabaei (lang:en)        | 2686 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 | ...                              | ...                | ...                                 |
| Nikolas Theodorou (wd:Q27533120)    | Nikolas Theodorou (lang:en)      | 2590 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Shamsiddin Vokhidov (wd:Q27533974)  | Shamsiddin Vokhidov (lang:en)    | 2589 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Viktor Erdős (wd:Q2524265)          | Viktor Erdős (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Ivan Sokolov (wd:Q709548)           | Ivan Sokolov (lang:en)           | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |
| Peter Michalík (wd:Q539326)         | Peter Michalík (lang:en)         | 2588 (xsd:decimal) | 2023-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
answer

PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>

SELECT ?person ?personLabel ?rating ?date WHERE {
  ?person wdt:P31 wd:Q5 .
  {
    SELECT ?person (MAX(?date) AS ?maxDate) WHERE {
      ?person p:P1087 ?stmt .
      ?stmt pq:P585 ?date .
      FILTER( ?date >= "2023-01-01T00:00:00Z"^^xsd:dateTime && ?date < "2023-02-01T00:00:00Z"^^xsd:dateTime )
    } GROUP BY ?person
  }
  ?person p:P1087 ?stmt2 .
  ?stmt2 ps:P1087 ?rating .
  ?stmt2 pq:P585 ?date .
  FILTER(?date = ?maxDate)
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
ORDER BY DESC(xsd:decimal(?rating))
LIMIT 100

Answer:
I executed the SPARQL query above on Wikidata and retrieved the top 100 humans with Elo rating statements dated in January 2023, ordered by Elo rating (descending). The query returns for each person: their Wikidata IRI, English label, rating value, and the point-in-time date (pq:P585) in January 2023.

Summary / sample of results (top and bottom of the returned list):
1) wd:Q377866 — Yu Yangyi — 2729 — 2023-01-01T00:00:00Z
2) wd:Q543256 — Francisco Vallejo Pons — 2710 — 2023-01-01T00:00:00Z
3) wd:Q59137809 — Hans Niemann — 2706 — 2023-01-01T00:00:00Z
4) wd:Q18923582 — Kirill Alekseenko — 2686 — 2023-01-01T00:00:00Z
5) wd:Q23710569 — Amin Tabatabaei — 2686 — 2023-01-01T00:00:00Z
...
96) wd:Q27533120 — Nikolas Theodorou — 2590 — 2023-01-01T00:00:00Z
97) wd:Q27533974 — Shamsiddin Vokhidov — 2589 — 2023-01-01T00:00:00Z
98) wd:Q2524265 — Viktor Erdős — 2588 — 2023-01-01T00:00:00Z
99) wd:Q709548 — Ivan Sokolov — 2588 — 2023-01-01T00:00:00Z
100) wd:Q539326 — Peter Michalík — 2588 — 2023-01-01T00:00:00Z

If you want the full 100-row table in CSV, JSON, or as a pasted full table in this chat, I can provide it. The SPARQL query above is the exact query I ran; you can reproduce the results by running it against Wikidata. If you prefer a different interpretation (for example: use the first rating in January 2023 instead of the latest in the month, or use FIDE monthly list snapshots), tell me and I will adapt the query.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER ( str( ?authorName ) = "Fred Smith" ) OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
ORDER BY ?item

Using properties:
- author name string (wd:P2093 as wdt), also known as author indicated as, author named as, author string, byline, creator indicated as, etc.: stores unspecified author or editor name for publications; ... author (P50) or editor (P98) does not exist or is not known / stores unspecified author or editor name for publications; ... editor (P98) does not exist or is not known. Do not use both. / string to store unspecified author name for publications; use if Wikidata item for author (P50) does not exist or is not known

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

Explanation:
I could not execute the final SPARQL query because the QLever/Wikidata endpoint at http://localhost:7001 timed out on repeated attempts (HTTP read timeout). Steps and attempts made:

1) Verified the relevant property: I used search_property("author name string") and confirmed the property is P2093 (author name string).
2) Constructed a straightforward query to find items with P2093 equal exactly to the string "Fred Smith":
   SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
     ?item wdt:P2093 ?authorName .
     FILTER(str(?authorName) = "Fred Smith")
     OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
   }
   ORDER BY ?item
3) Attempted to execute that SPARQL twice; both attempts failed with a read timeout from the local endpoint.
4) As a fallback I used search_object_of_property with property wd t:P2093 and query "Fred Smith"; the search returned many candidate entities (person items named Fred Smith) but the tool also reported "No literal items found" in the index search, so it did not yield the desired list of works that have the literal author name string "Fred Smith". The search results show many Wikidata items for people named "Fred Smith" (Q1618038, Q2615615, etc.), but that is not the same as items that have P2093 literal value "Fred Smith".

Because the SPARQL endpoint timed out I cannot reliably produce the final list of items or run the query to confirm the results. Below is my best (final) SPARQL query — you can run it on a working Wikidata SPARQL endpoint (e.g., query.wikidata.org) to obtain the items that have exactly the string "Fred Smith" as an author name string. The query returns item IRIs and their English labels when available.

Best attempt SPARQL query:

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(str(?authorName) = "Fred Smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

If you want a case-insensitive match or to accept language-tagged literals, you could instead use:

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(lcase(str(?authorName)) = "fred smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

If you'd like, I can:
- Retry the query later (the timeout may be transient),
- Adjust the query (case-insensitive, partial matches), or
- Provide guidance on running this query on query.wikidata.org if you can run it there.

Best attempt SPARQL included in the 'best_attempt' field below.

I could not execute the final SPARQL query because the QLever/Wikidata endpoint at http://localhost:7001 timed out on repeated attempts (HTTP read timeout). Steps and attempts made:

1) Verified the relevant property: I used search_property("author name string") and confirmed the property is P2093 (author name string).
2) Constructed a straightforward query to find items with P2093 equal exactly to the string "Fred Smith":
   SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
     ?item wdt:P2093 ?authorName .
     FILTER(str(?authorName) = "Fred Smith")
     OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
   }
   ORDER BY ?item
3) Attempted to execute that SPARQL twice; both attempts failed with a read timeout from the local endpoint.
4) As a fallback I used search_object_of_property with property wd t:P2093 and query "Fred Smith"; the search returned many candidate entities (person items named Fred Smith) but the tool also reported "No literal items found" in the index search, so it did not yield the desired list of works that have the literal author name string "Fred Smith". The search results show many Wikidata items for people named "Fred Smith" (Q1618038, Q2615615, etc.), but that is not the same as items that have P2093 literal value "Fred Smith".

Because the SPARQL endpoint timed out I cannot reliably produce the final list of items or run the query to confirm the results. Below is my best (final) SPARQL query — you can run it on a working Wikidata SPARQL endpoint (e.g., query.wikidata.org) to obtain the items that have exactly the string "Fred Smith" as an author name string. The query returns item IRIs and their English labels when available.

Best attempt SPARQL query:

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(str(?authorName) = "Fred Smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

If you want a case-insensitive match or to accept language-tagged literals, you could instead use:

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(lcase(str(?authorName)) = "fred smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

If you'd like, I can:
- Retry the query later (the timeout may be transient),
- Adjust the query (case-insensitive, partial matches), or
- Provide guidance on running this query on query.wikidata.org if you can run it there.

Best attempt SPARQL included in the 'best_attempt' field below.

SPARQL query over wikidata:
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER ( str( ?authorName ) = "Fred Smith" ) OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
ORDER BY ?item

Using properties:
- author name string (wd:P2093 as wdt), also known as author indicated as, author named as, author string, byline, creator indicated as, etc.: stores unspecified author or editor name for publications; ... author (P50) or editor (P98) does not exist or is not known / stores unspecified author or editor name for publications; ... editor (P98) does not exist or is not known. Do not use both. / string to store unspecified author name for publications; use if Wikidata item for author (P50) does not exist or is not known

Execution result:
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- imdb: <https://www.imdb.com/
- math: <http://www.w3.org/2005/xpath-functions/math#
- ontolex: <http://www.w3.org/ns/lemon/ontolex#
- owl: <http://www.w3.org/2002/07/owl#
- p: <http://www.wikidata.org/prop/
- pq: <http://www.wikidata.org/prop/qualifier/
- pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
- pqv: <http://www.wikidata.org/prop/qualifier/value/
- pr: <http://www.wikidata.org/prop/reference/
- prn: <http://www.wikidata.org/prop/reference/value-normalized/
- prov: <http://www.w3.org/ns/prov#
- prv: <http://www.wikidata.org/prop/reference/value/
- ps: <http://www.wikidata.org/prop/statement/
- psn: <http://www.wikidata.org/prop/statement/value-normalized/
- psv: <http://www.wikidata.org/prop/statement/value/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
- rdfs: <http://www.w3.org/2000/01/rdf-schema#
- ref: <http://www.wikidata.org/reference/
- s: <http://www.wikidata.org/entity/statement/
- schema: <http://schema.org/
- skos: <http://www.w3.org/2004/02/skos/core#
- v: <http://www.wikidata.org/value/
- void: <http://rdfs.org/ns/void#
- wd: <http://www.wikidata.org/entity/
- wdno: <http://www.wikidata.org/prop/novalue/
- wdt: <http://www.wikidata.org/prop/direct/
- wdtn: <http://www.wikidata.org/prop/direct-normalized/
- wikibase: <http://wikiba.se/ontology#
- xsd: <http://www.w3.org/2001/XMLSchema#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which items have exactly the string "Fred Smith" listed under its author name string?

[Assistant]
Step 1: I'll search for the property that corresponds to "author name string" (I expect P2093 but will verify with the property search). I'll use search_property to find the correct property identifier.

Question: author name string

Top 10 property alternatives:
1. author name string (wd:P2093 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as author indicated as, author named as, author string, byline, creator indicated as, etc.: stores unspecified author or editor name for publications; ... editor (P98) does not exist or is not known. Do not use both. / stores unspecified author or editor name for publications; ... author (P50) or editor (P98) does not exist or is not known / string to store unspecified author name for publications; use if Wikidata item for author (P50) does not exist or is not known
2. object named as (wd:P1932 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via author named as), also known as as, author named as, credited as, location name string, named as, etc.: use as qualifier to indicate how the object's value was given in the source / use as qualifier to indicate how the value was given in the source / is subproperty of name
3. author given names (wd:P9687 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via author first name), also known as author first name, author first names, first name, given name, given names, etc.: qualifier for string representation of given or secondary ... in a bibliographic reference file (for example BibTeX) / is subproperty of given name
4. given name (wd:P735 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as Christian name, first name, forename, middle name, name, etc.: first name or another given name of this person; values used with the property should not link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / is subproperty of name
5. website username or ID (wd:P554 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via account name), also known as account name, account name in social media, handle, public username, social media username, etc.: username or identifier on a website that the person or ... on, for use as qualifier of "website account on" (P553)
6. name of the character role (wd:P4633 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via character named as), also known as character name, character named as, character role named as, name of character role, name of role, etc.: name by which a character role is recorded in a database or ... a specific performance of a theatrical production of a play / name by which a character role is recorded in a database or ... a specific performance of a theatrical production of a play / is subproperty of name
7. lyricist (wd:P676 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via text author), also known as author, lyrics by, songwriter, text author, text by, etc.: author of song lyrics; also use P86 for music composer / is subproperty of author / author of song lyrics
8. theorized by (wd:P8403 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via author), also known as author, authored by, defined by, explained by, named by, etc.: subject who suggested or proposed this concept or immaterial invention / subject who suggested or proposed this concept or immaterial invention
9. author (wd:P50 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p), also known as co-author, creator, maker, playwright, poet, etc.: main creator(s) of a written work (use on works, not humans); ... name string) when Wikidata item is unknown or does not exist / main creator(s) of a written work (use on works, not humans) / main creator(s) of a written work (use on works, not humans) / is subproperty of creator
10. label in sign language (wd:P2919 as pq/pqn/prv/ps/psn/pqv/prn/wdt/psv/wdtn/pr/p, matched via name sign), also known as name in sign language, name sign, sign, sign language media, sign name, etc.: media file showing label of this item in sign language. Use ... work or name" (P407) as qualifier to indicate which language / media file showing label of this item in sign language. Use ... work or name" (P407) as qualifier to indicate which language

[Assistant]
I'll run a SPARQL query that looks for items with property P2093 (author name string) equal exactly to "Fred Smith", and retrieve each item's IRI plus its English label if available. I'll execute the query now.

execute

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(str(?authorName) = "Fred Smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant]
The previous attempt timed out; I'll retry the same query (with a LIMIT to be safe). I'll run it again.

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(str(?authorName) = "Fred Smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item
LIMIT 500

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant]
I'll try searching objects for property P2093 using the index search to find matches for the string "Fred Smith" (this may succeed even if the full SPARQL endpoint times out). I will first search the property P2093 to confirm, then search objects for that property matching "Fred Smith". (I earlier confirmed P2093 exists.) I'll call search_object_of_property now.

Question: Fred Smith

Falling back to an unconstrained search on the full search indices due to an error:
Got more than the maximum supported number of object candidates (131,072)

Top 10 entity alternatives:
1. Fred Smith (wd:Q1618038): has occupation bassist / is instance of human / American bassist
2. Fred Smith (wd:Q2615615), also known as Frederick Dewey Smith: American guitarist (1948–1994) / has occupation songwriter / has occupation Guitarist / has occupation guitarist / has occupation singer / is instance of human
3. Fred Smith (wd:Q5496292), also known as Frederick Smith, Frederick William Smith: South African cricketer born in 1861 / has occupation cricketer / is instance of human
4. Fred A. Smith (wd:Q5494404, matched via Fred Smith), also known as Fred Smith: has occupation Jockey / has occupation jockey / is instance of human / American jockey
5. Fred Smith (wd:Q5496287), also known as Frederick Christopher Smith, Frederick Smith: baseball pitcher and outfielder in the 1890s from the United States / has occupation baseball player / is instance of human
6. Fred Smith (wd:Q5496294): North Carolina politician from the United States / has occupation politician / is instance of human
7. Fred Smith (wd:Q5496289): English cricketer born in 1879 / has occupation cricketer / is instance of human
8. Fred Smith (wd:Q5496301), also known as Fred Vincent Smith: baseball infielder from the United States (1886-1961) / has occupation baseball player / is instance of human
9. Fred Smith (wd:Q5496300), also known as Frederick Gregg Smith: has occupation association football player / English footballer born in 1942 / has occupation soccer player / is instance of human
10. Fred Smith (wd:Q5496295), also known as Frederick Augustus Ford Smith: has occupation association football player / English footballer (1887-1957) / has occupation soccer player / is instance of human

No other items found

No literal items found

[Assistant]
I'll explain the failure and provide my best SPARQL query attempt. Then I'll stop the generation process via cancel.

cancel

Explanation:
I could not execute the final SPARQL query because the QLever/Wikidata endpoint at http://localhost:7001 timed out on repeated attempts (HTTP read timeout). Steps and attempts made:

1) Verified the relevant property: I used search_property("author name string") and confirmed the property is P2093 (author name string).
2) Constructed a straightforward query to find items with P2093 equal exactly to the string "Fred Smith":
   SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
     ?item wdt:P2093 ?authorName .
     FILTER(str(?authorName) = "Fred Smith")
     OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
   }
   ORDER BY ?item
3) Attempted to execute that SPARQL twice; both attempts failed with a read timeout from the local endpoint.
4) As a fallback I used search_object_of_property with property wd t:P2093 and query "Fred Smith"; the search returned many candidate entities (person items named Fred Smith) but the tool also reported "No literal items found" in the index search, so it did not yield the desired list of works that have the literal author name string "Fred Smith". The search results show many Wikidata items for people named "Fred Smith" (Q1618038, Q2615615, etc.), but that is not the same as items that have P2093 literal value "Fred Smith".

Because the SPARQL endpoint timed out I cannot reliably produce the final list of items or run the query to confirm the results. Below is my best (final) SPARQL query — you can run it on a working Wikidata SPARQL endpoint (e.g., query.wikidata.org) to obtain the items that have exactly the string "Fred Smith" as an author name string. The query returns item IRIs and their English labels when available.

Best attempt SPARQL query:

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(str(?authorName) = "Fred Smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

If you want a case-insensitive match or to accept language-tagged literals, you could instead use:

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(lcase(str(?authorName)) = "fred smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item

If you'd like, I can:
- Retry the query later (the timeout may be transient),
- Adjust the query (case-insensitive, partial matches), or
- Provide guidance on running this query on query.wikidata.org if you can run it there.

Best attempt SPARQL included in the 'best_attempt' field below.

SELECT DISTINCT ?item ?itemLabel ?authorName WHERE {
  ?item wdt:P2093 ?authorName .
  FILTER(str(?authorName) = "Fred Smith")
  OPTIONAL { ?item rdfs:label ?itemLabel FILTER(LANG(?itemLabel) = "en") }
}
ORDER BY ?item