Triple

T18135518
Position Surface form Disambiguated ID Type / Status
Subject Stagecoach (1986 film) E434125 entity
Predicate cinematographyBy P1953 FINISHED
Object Gary Graver 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: Gary Graver | Statement: [Stagecoach (1986 film), cinematographyBy, Gary Graver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Graver
Context triple: [Stagecoach (1986 film), cinematographyBy, Gary Graver]
  • A. Gary Graver chosen
    Gary Graver was an American cinematographer and filmmaker best known for his long collaboration with Orson Welles and his work on numerous low-budget genre films.
  • B. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • C. Gary Grubbs
    Gary Grubbs is an American character actor known for his extensive work in film and television, often appearing in supporting roles across dramas and comedies.
  • D. Patrick Greer
    Patrick Greer is an individual notable enough to be specifically referenced as a bearer of the surname Greer, though detailed public information about him is limited.
  • E. Brian Borchers
    Brian Borchers is an American mathematician known for his work in optimization and operations research.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0677088190aaf584882b3d74a1 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.