Triple

T1056323
Position Surface form Disambiguated ID Type / Status
Subject HLN E22803 entity
Predicate originalNetworkName P22978 FINISHED
Object CNN Headline News 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 Headline News | Statement: [HLN, originalNetworkName, CNN Headline News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN Headline News
Context triple: [HLN, originalNetworkName, CNN Headline News]
  • 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 Nightly News
    NBC Nightly News is a long-running American evening television news program that provides national and international news coverage on the NBC network.
  • C. Yahoo News
    Yahoo News is a major online news and media platform providing global and local coverage across politics, business, entertainment, and more as part of the Yahoo digital ecosystem.
  • 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. CBS Evening News
    CBS Evening News is a long-running American television network’s flagship nightly news program known for its national and international news 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb7320f88190a8428946541df157 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.