Triple

T2624813
Position Surface form Disambiguated ID Type / Status
Subject Madame Secretary E59091 entity
Predicate originalChannel P2595 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: [Madame Secretary, originalChannel, CBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS
Context triple: [Madame Secretary, originalChannel, CBS]
  • A. CBS chosen
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • B. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • 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. NBC USA
    NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b061a08190b7a8459851abaae2 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04cf4e08190938687bfeb0ae353 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:50 p.m.