Triple

T12170595
Position Surface form Disambiguated ID Type / Status
Subject Mary Yates E289951 entity
Predicate spouse P13 FINISHED
Object Mike Wallace E58442 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: Mike Wallace | Statement: [Mary Yates, spouse, Mike Wallace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Wallace
Context triple: [Mary Yates, spouse, Mike Wallace]
  • A. Mike Wallace chosen
    Mike Wallace was a prominent American broadcast journalist best known as a hard-hitting correspondent on the television news magazine "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. Frank Cavett
    Frank Cavett was an American screenwriter best known for his work on the classic 1944 film "Going My Way."
  • D. Bill Whitaker
    Bill Whitaker is an American television journalist best known as a longtime correspondent for the CBS news magazine program "60 Minutes."
  • E. Lowell Thomas
    Lowell Thomas was an American writer, broadcaster, and traveler best known for popularizing T. E. Lawrence (“Lawrence of Arabia”) through his lectures and radio programs.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4deb308190aa1a99a78d46b461 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.