Triple

T22839629
Position Surface form Disambiguated ID Type / Status
Subject Bickford E566045 entity
Predicate hasNotableBearer P458 FINISHED
Object Charles Bickford NE NERFINISHED

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: Charles Bickford | Statement: [Bickford, hasNotableBearer, Charles Bickford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Bickford
Context triple: [Bickford, hasNotableBearer, Charles Bickford]
  • A. Charles Bickford chosen
    Charles Bickford was an American character actor known for his rugged screen presence and acclaimed supporting roles in numerous classic Hollywood films.
  • B. Albert E. Finley
    Albert E. Finley was a prominent North Carolina businessman and benefactor whose support for North Carolina State University led to the university’s football stadium bearing his name.
  • C. Hugh Sothern
    Hugh Sothern was an American character actor active in early 20th-century stage and film, known for supporting roles in Hollywood movies.
  • D. Arthur Coburn
    Arthur Coburn is a film editor best known for his work on major Hollywood productions, including the action-comedy classic "Beverly Hills Cop."
  • E. Arthur Coburn
    Arthur Coburn is a film editor best known for his work on the 1994 Jim Carrey comedy "The Mask."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.