Triple

T974797
Position Surface form Disambiguated ID Type / Status
Subject Good Morning America E21027 entity
Predicate creator P184 FINISHED
Object ABC News E24380 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: ABC News | Statement: [Good Morning America, creator, ABC News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC News
Context triple: [Good Morning America, creator, ABC News]
  • A. ABC News chosen
    ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
  • B. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • C. BBC News Channel
    BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
  • D. CNN
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • E. 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.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170c0fdc8190b904ca5737764f5a completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.