Triple

T12523699
Position Surface form Disambiguated ID Type / Status
Subject Bert Bell Award E299381 entity
Predicate hasRecipient P108 FINISHED
Object Boomer Esiason E150667 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: Boomer Esiason | Statement: [Bert Bell Award, hasRecipient, Boomer Esiason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomer Esiason
Context triple: [Bert Bell Award, hasRecipient, Boomer Esiason]
  • A. Boomer Esiason chosen
    Boomer Esiason is a former NFL quarterback, best known for leading the Cincinnati Bengals to a Super Bowl appearance and later becoming a prominent football broadcaster.
  • B. Vinny Testaverde
    Vinny Testaverde is a former American football quarterback who starred at the University of Miami before enjoying a long NFL career with multiple teams.
  • C. Neil Jaworski
    Neil Jaworski is a screenwriter best known for co-writing the romantic comedy film "The Decoy Bride."
  • D. Bob Griese
    Bob Griese is a Hall of Fame former NFL quarterback for the Miami Dolphins who later became a prominent football television analyst.
  • E. Dan Marino
    Dan Marino is a Hall of Fame former NFL quarterback renowned for his prolific passing career with the Miami Dolphins and for setting numerous league records.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8be566c81908fba8e8caabbd93c completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:57 p.m.