Triple

T8575314
Position Surface form Disambiguated ID Type / Status
Subject Bill Whitaker E203033 entity
Predicate name P16 FINISHED
Object Bill Whitaker E203033 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 Whitaker | Statement: [Bill Whitaker, name, Bill Whitaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Whitaker
Context triple: [Bill Whitaker, name, Bill Whitaker]
  • A. Bill Whitaker chosen
    Bill Whitaker is an American television journalist best known as a longtime correspondent for the CBS news magazine program "60 Minutes."
  • B. David Brinkley
    David Brinkley was a prominent American television newscaster and journalist best known for co-anchoring "The Huntley–Brinkley Report" and later serving as a leading figure in network evening news.
  • C. Dan Rather
    Dan Rather is an American journalist and former CBS Evening News anchor known for his hard-hitting reporting and decades-long presence on national television news.
  • D. Brian Lamb
    Brian Lamb is an American journalist and television executive best known as the founder and longtime CEO of the public affairs network C-SPAN.
  • E. Mike Wallace
    Mike Wallace was a prominent American broadcast journalist best known as a hard-hitting correspondent on the television news magazine "60 Minutes."
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9638c081909a537cc44e485bee completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8995d1d081909f6a27220c2c267e completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.