Triple

T13438748
Position Surface form Disambiguated ID Type / Status
Subject John Madden E320297 entity
Predicate employer P7 FINISHED
Object Fox Sports E11604 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: Fox Sports | Statement: [John Madden, employer, Fox Sports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox Sports
Context triple: [John Madden, employer, Fox Sports]
  • A. Fox Sports chosen
    Fox Sports is a major American sports television network and media brand known for broadcasting professional and collegiate sports, including NFL, MLB, and college football.
  • B. Fox Sports
    Fox Sports is a major Australian pay television sports network known for broadcasting a wide range of domestic and international sporting events.
  • C. Fox Sports Networks
    Fox Sports Networks was a group of regional American sports television channels that broadcast local professional and collegiate sporting events across the United States.
  • D. Fox Sports World
    Fox Sports World was a U.S. cable television network that primarily broadcast international soccer and other global sports before being rebranded as Fox Soccer Channel.
  • E. Fox Sports Live
    Fox Sports Live is a sports news and highlights television program that served as Fox Sports' flagship nightly studio show, featuring game recaps, analysis, and commentary.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399215bc8190b846906b0f081e7f completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.