Triple

T18523963
Position Surface form Disambiguated ID Type / Status
Subject Jeff Wincott E452665 entity
Predicate familyName P18 FINISHED
Object Wincott NE NERFINISHED

How this triple was built (2 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: Wincott | Statement: [Jeff Wincott, familyName, Wincott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wincott
Context triple: [Jeff Wincott, familyName, Wincott]
  • A. Wincott chosen
    Wincott is an English-language surname most notably associated with Canadian actor Michael Wincott, known for his distinctive gravelly voice and villainous roles.
  • B. Wolcott
    Wolcott is a small suburban town in central Connecticut known for its residential character and proximity to the city of Waterbury.
  • C. Anne Wincott
    Anne Wincott was an English noblewoman best known as the wife of Henry Montagu, 1st Earl of Manchester, a prominent early 17th-century statesman and judge.
  • D. Wiggin
    Wiggin is a surname most notably associated with individuals such as former American football player and coach Paul Wiggin.
  • E. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533908b0c81908725baf828aa46ff completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.