Triple

T20562934
Position Surface form Disambiguated ID Type / Status
Subject 1997–98 Detroit Red Wings E504889 entity
Predicate goaltendingCoach P140391 FINISHED
Object Jim Bedard 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: Jim Bedard | Statement: [1997–98 Detroit Red Wings, goaltendingCoach, Jim Bedard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Bedard
Context triple: [1997–98 Detroit Red Wings, goaltendingCoach, Jim Bedard]
  • A. Jim Bedard chosen
    Jim Bedard is a Canadian former professional ice hockey goaltender and longtime NHL goaltending coach best known for his work with the Detroit Red Wings.
  • B. Chris Berman
    Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
  • C. Greg Gumbel
    Greg Gumbel is an American sportscaster best known for his long tenure with CBS Sports, where he has called NFL, NCAA basketball, and other major sporting events.
  • D. Brent Musburger
    Brent Musburger is an American sportscaster best known for his long career as a prominent play-by-play announcer and studio host covering major events across multiple sports.
  • E. Jim Nantz
    Jim Nantz is a prominent American sportscaster best known for his long-running play-by-play coverage of major events such as the NFL, NCAA basketball, and The Masters on CBS.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79f906c819081163de9649ccb17 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.