Triple

T13190767
Position Surface form Disambiguated ID Type / Status
Subject Tony Dorsett E313977 entity
Predicate playedForFranchise P2170 FINISHED
Object Denver Broncos franchise E29707 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: Denver Broncos franchise | Statement: [Tony Dorsett, playedForFranchise, Denver Broncos franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denver Broncos franchise
Context triple: [Tony Dorsett, playedForFranchise, Denver Broncos franchise]
  • A. Denver Broncos chosen
    The Denver Broncos are a professional American football franchise based in Denver, Colorado, competing in the National Football League and known for multiple Super Bowl appearances and championships.
  • B. Broncos
    Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
  • C. Broncos
    The Broncos are the athletic teams representing Fayetteville State University in collegiate sports competitions.
  • D. Broncos
    The Broncos are the athletic teams representing Boise State University, best known for their successful football program and iconic blue turf field.
  • E. Broncos
    The Broncos are the athletic teams representing Western Michigan University in NCAA sports competitions.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fef9e48190961d66ebcc1df11f completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:15 p.m.