Triple

T14841554
Position Surface form Disambiguated ID Type / Status
Subject William Eythe E348976 entity
Predicate name P16 FINISHED
Object William Eythe E348976 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: William Eythe | Statement: [William Eythe, name, William Eythe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Eythe
Context triple: [William Eythe, name, William Eythe]
  • A. William Eythe chosen
    William Eythe was an American film and stage actor of the 1940s best known for his roles in Hollywood dramas and thrillers.
  • B. Henry Darrow
    Henry Darrow was an American actor best known for his groundbreaking role as the Latino character Manolito Montoya on the television series "The High Chaparral" and for voicing Zorro in the 1980s animated series.
  • C. Charles Bickford
    Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
  • D. Robert Healey
    Robert Healey is a name shared by several notable individuals, including an American lawyer and perennial political candidate known for his satirical campaigns.
  • E. Wendell Corey
    Wendell Corey was an American actor known for his supporting roles in classic films of the 1940s and 1950s and for his work in both film noir and mainstream Hollywood dramas.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02d84d881909aa8a1a3653d37bf completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 1:53 a.m.