Triple

T19656585
Position Surface form Disambiguated ID Type / Status
Subject Roger Wolcott E471961 entity
Predicate familyName P18 FINISHED
Object Wolcott 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: Wolcott | Statement: [Roger Wolcott, familyName, Wolcott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolcott
Context triple: [Roger Wolcott, familyName, Wolcott]
  • A. Wolcott chosen
    Wolcott is a small suburban town in central Connecticut known for its residential character and proximity to the city of Waterbury.
  • B. Wolcott Balestier
    Wolcott Balestier was an American writer and literary agent best known for his collaboration with Rudyard Kipling and his influential role in late 19th-century publishing.
  • C. Wincott
    Wincott is an English-language surname most notably associated with Canadian actor Michael Wincott, known for his distinctive gravelly voice and villainous roles.
  • D. Wiggin
    Wiggin is a surname most notably associated with individuals such as former American football player and coach Paul Wiggin.
  • E. Winchell
    Winchell is a surname most famously associated with Walter Winchell, a prominent 20th-century American newspaper and radio gossip columnist.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64146539c8190813debb0d964bc23 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.