Triple

T13269166
Position Surface form Disambiguated ID Type / Status
Subject Bob Gainey E316009 entity
Predicate name P16 FINISHED
Object Bob Gainey E316009 NE FINISHED

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 Gainey | Statement: [Bob Gainey, name, Bob Gainey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Gainey
Context triple: [Bob Gainey, name, Bob Gainey]
  • A. Bob Gainey chosen
    Bob Gainey is a former Canadian professional ice hockey player and coach renowned for his exceptional defensive play and leadership with the Montreal Canadiens.
  • B. Bill Guerin
    Bill Guerin is a former NHL forward and two-time Stanley Cup champion who now serves as an executive in professional ice hockey.
  • C. Colin Smythe
    Colin Smythe is a British publisher and literary agent best known for first publishing Terry Pratchett’s Discworld novels.
  • D. Bob Matthews
    Bob Matthews is an audio engineer and producer best known for his work with the Grateful Dead, including co-producing their 1969 album "Aoxomoxoa."
  • E. Darryl Sittler
    Darryl Sittler is a Canadian former NHL center best known for his prolific scoring and leadership with the Toronto Maple Leafs during the 1970s, including holding the record for most points in a single NHL game.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901f59888190b8147836d2fcac5e completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266665488190a4e2e411bafada85 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:26 p.m.