Triple

T20695392
Position Surface form Disambiguated ID Type / Status
Subject James Collinsworth E508647 entity
Predicate familyName P18 FINISHED
Object Collinsworth
Collinsworth is an English-language surname borne by various notable individuals across fields such as sports, law, and public service.
 E1445095 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: Collinsworth | Statement: [James Collinsworth, familyName, Collinsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Collinsworth
Context triple: [James Collinsworth, familyName, Collinsworth]
  • A. Woolsey
    Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
  • B. Talbott
    Talbott is an unincorporated community in Hamblen County, Tennessee, known primarily as a residential area near the city of Morristown.
  • C. Colson
    Colson is a surname most notably associated with Charles Colson, the American political aide involved in the Watergate scandal who later became an evangelical Christian leader and author.
  • D. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • E. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • 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: Collinsworth
Triple: [James Collinsworth, familyName, Collinsworth]
Generated description
Collinsworth is an English-language surname borne by various notable individuals across fields such as sports, law, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Collinsworth
Target entity description: Collinsworth is an English-language surname borne by various notable individuals across fields such as sports, law, and public service.
  • A. Woolsey
    Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
  • B. Talbott
    Talbott is an unincorporated community in Hamblen County, Tennessee, known primarily as a residential area near the city of Morristown.
  • C. Colson
    Colson is a surname most notably associated with Charles Colson, the American political aide involved in the Watergate scandal who later became an evangelical Christian leader and author.
  • D. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • E. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c11180e481908423385fbe97ab26 completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e6a5788190895d7becc9f8136b completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d8e3b1d4819088fb2c3e54b7934e completed May 16, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_6a08d940f0e88190be17ae56546996af completed May 16, 2026, 8:53 p.m.
Created at: April 16, 2026, 12:10 p.m.