Triple

T7031743
Position Surface form Disambiguated ID Type / Status
Subject Basketball Africa League E163285 entity
Predicate commercialPartner P282 FINISHED
Object Wilson
Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
 E637359 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wilson | Statement: [Basketball Africa League, commercialPartner, Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilson
Context triple: [Basketball Africa League, commercialPartner, Wilson]
  • A. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • B. Wilson
    "Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
  • C. Wilson
    Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
  • D. Wilson
    Wilson is a city in eastern North Carolina known historically for its tobacco and textile industries and now for its cultural attractions and public gardens.
  • E. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wilson
Triple: [Basketball Africa League, commercialPartner, Wilson]
Generated description
Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilson
Target entity description: Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
  • A. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • B. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • C. Wilson
    "Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
  • D. Wilson
    Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
  • E. Wilson
    Wilson is a city in eastern North Carolina known historically for its tobacco and textile industries and now for its cultural attractions and public gardens.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e20ee1208190811be10a84e7d8a4 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775980920819081d31b8d2843fb3d completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77aa1c704819088a9561ac55f9037 completed March 28, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_69c77b082f3c8190a649297ce0f816bb completed March 28, 2026, 6:54 a.m.
Created at: March 27, 2026, 2:36 p.m.