Triple

T21732410
Position Surface form Disambiguated ID Type / Status
Subject Bob Watson E536439 entity
Predicate name P16 FINISHED
Object Bob Watson 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: Bob Watson | Statement: [Bob Watson, name, Bob Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Watson
Context triple: [Bob Watson, name, Bob Watson]
  • A. Bob Watson
    Bob Watson is a legendary Canadian lacrosse goaltender best known for backstopping the Toronto Rock to multiple National Lacrosse League championships.
  • B. Bob Watson chosen
    Bob Watson was a Major League Baseball first baseman and later executive, known for his productive hitting career and for becoming one of the first African-American general managers in MLB history.
  • C. Watson Gowdy
    Watson Gowdy is the son of former U.S. Congressman and prominent conservative commentator Trey Gowdy.
  • D. Bob Turley
    Bob Turley was an American Major League Baseball pitcher, best known as a star hurler for the New York Yankees in the 1950s.
  • E. Bill Watters
    Bill Watters is a Canadian sports executive and broadcaster best known as a former assistant general manager of the Toronto Maple Leafs and a prominent hockey analyst.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd085eec81908b3df82bc25a8780 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.