Triple

T3091802
Position Surface form Disambiguated ID Type / Status
Subject Mike Tirico E64497 entity
Predicate networkAffiliation P12340 FINISHED
Object NBC E2196 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: NBC | Statement: [Mike Tirico, networkAffiliation, NBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBC
Context triple: [Mike Tirico, networkAffiliation, NBC]
  • A. NBC chosen
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • B. NBC USA
    NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
  • C. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • D. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • E. National Broadcasting Company
    The National Broadcasting Company (NBC) is a major American commercial television and radio network, one of the oldest and most influential broadcasters in the United States.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20eeee88190a5eecfce10e3848c completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2034727808190b016223c8ac911c3 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.