Triple

T1125723
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl II E24714 entity
Predicate networkUS P2637 FINISHED
Object CBS E6070 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: CBS | Statement: [Super Bowl II, networkUS, CBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS
Context triple: [Super Bowl II, networkUS, CBS]
  • A. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • B. CBS chosen
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • C. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • D. Fox Broadcasting Company
    Fox Broadcasting Company is a major American television network known for its prime-time entertainment programming, including hit series, sports broadcasts, and news.
  • E. CBS Corporation
    CBS Corporation was a major American mass media conglomerate best known for owning the CBS television network and various broadcasting and entertainment assets.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdaf2d4819086f480f69da127f9 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc60fb34c819085dd801f7364829a completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:44 p.m.