Triple

T22574385
Position Surface form Disambiguated ID Type / Status
Subject John Filo E544353 entity
Predicate employer P7 FINISHED
Object CBS News NE NERFINISHED

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 News | Statement: [John Filo, employer, CBS News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS News
Context triple: [John Filo, employer, CBS News]
  • A. CBS News chosen
    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.
  • B. NBC News
    NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
  • C. ABC News
    ABC News is an Australian 24-hour news television channel providing national and international news coverage, analysis, and current affairs programming.
  • D. ABC News
    ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fec296481908a6101b02e5bedaa completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.