Triple

T2782638
Position Surface form Disambiguated ID Type / Status
Subject Bart Starr Award E61731 entity
Predicate firstRecipient P108 FINISHED
Object Steve Largent E195541 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: Steve Largent | Statement: [Bart Starr Award, firstRecipient, Steve Largent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Largent
Context triple: [Bart Starr Award, firstRecipient, Steve Largent]
  • A. Steve Largent chosen
    Steve Largent is a Hall of Fame former NFL wide receiver renowned for his prolific career with the Seattle Seahawks and his precise route running and reliable hands.
  • B. Jon Kitna
    Jon Kitna is a former NFL quarterback best known for his starting stints with the Seattle Seahawks, Cincinnati Bengals, and Detroit Lions during a 16-year professional career.
  • C. Fran Tarkenton
    Fran Tarkenton is a Hall of Fame NFL quarterback best known for his scrambling style and record-setting career primarily with the Minnesota Vikings.
  • 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. Warren Moon
    Warren Moon is a Hall of Fame quarterback renowned for his prolific passing career in both the Canadian Football League and the NFL.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd9cd950819083770d9f0516a9cf completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc64f94208190b9b8da1fdf6252cc completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.