Triple

T13858741
Position Surface form Disambiguated ID Type / Status
Subject Impact Segment E333131 entity
Predicate presentedBy P83 FINISHED
Object Bill O’Reilly E319367 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: Bill O’Reilly | Statement: [Impact Segment, presentedBy, Bill O’Reilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill O’Reilly
Context triple: [Impact Segment, presentedBy, Bill O’Reilly]
  • A. Bill O’Reilly chosen
    Bill O’Reilly is an American conservative political commentator, author, and former long-time host of the Fox News program "The O’Reilly Factor."
  • B. Sean Hannity
    Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
  • C. Glenn Beck
    Glenn Beck is an American conservative political commentator, radio and television host, and founder of the media network TheBlaze.
  • D. Rush Limbaugh
    Rush Limbaugh was a conservative American radio talk show host and political commentator known for his influential, often controversial program "The Rush Limbaugh Show."
  • E. John Batchelor
    John Batchelor is an Australian actor known for his work in film, television, and theatre.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac824a60819090894504dbb41de9 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:14 p.m.