Triple

T6331474
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl XXIII E142390 entity
Predicate quarterbackLosingTeam P13579 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: [Super Bowl XXIII, quarterbackLosingTeam, Boomer Esiason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomer Esiason
Context triple: [Super Bowl XXIII, quarterbackLosingTeam, 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63862698c8190a23f9f228a7cc8a7 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:30 p.m.