Triple

T1206802
Position Surface form Disambiguated ID Type / Status
Subject MSNBC E25906 entity
Predicate sisterChannel P5818 FINISHED
Object CNBC E65797 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: CNBC | Statement: [MSNBC, sisterChannel, CNBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNBC
Context triple: [MSNBC, sisterChannel, CNBC]
  • A. CNBC chosen
    CNBC is an American business news television channel known for its real-time financial market coverage and economic analysis.
  • B. Bloomberg Television
    Bloomberg Television is a global 24-hour business and financial news television network owned by Bloomberg L.P., known for its real-time market coverage and analysis.
  • C. Bloomberg News
    Bloomberg News is a global financial and business news organization known for its real-time market coverage, data-driven reporting, and multimedia journalism.
  • D. Bloomberg
    Bloomberg is a global financial, software, data, and media company best known for its real-time financial information terminals and business news services.
  • E. CNN
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3f4c508190bdc3d436d393daf9 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.