Triple

T12424656
Position Surface form Disambiguated ID Type / Status
Subject CNN Weather E296865 entity
Predicate partOf P40 FINISHED
Object CNN news programming E10223 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: CNN news programming | Statement: [CNN Weather, partOf, CNN news programming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN news programming
Context triple: [CNN Weather, partOf, CNN news programming]
  • A. CNN chosen
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • B. NBC News Now
    NBC News Now is a free, ad-supported streaming news channel from NBC News that provides live, rolling coverage and original news programming across digital platforms.
  • C. CBS News
    CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
  • D. NBC News
    NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
  • E. CNN Headline News Channel
    CNN Headline News Channel is a U.S. cable news television network known for delivering concise, continuously updated news summaries and headline-focused coverage.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349716fc8190997b54a50d29827a completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.