Triple

T13190732
Position Surface form Disambiguated ID Type / Status
Subject Tony Dorsett E313977 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Denver Broncos 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 | Statement: [Tony Dorsett, memberOfSportsTeam, Denver Broncos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denver Broncos
Context triple: [Tony Dorsett, memberOfSportsTeam, Denver Broncos]
  • 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
    The Broncos are the intercollegiate athletic teams that represent Santa Clara University in NCAA sports.
  • C. Broncos
    Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
  • D. Broncos
    The Broncos are the athletic teams representing California State Polytechnic University, Pomona in collegiate sports.
  • E. Broncos
    The Broncos are the athletic teams representing Fayetteville State University in collegiate 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_69f6ff177ba88190afb2043cc157248d completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:15 p.m.