Triple

T19532706
Position Surface form Disambiguated ID Type / Status
Subject ATL (2006 film) E488693 entity
Predicate cinematographyBy P1953 FINISHED
Object Fred Murphy 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: Fred Murphy | Statement: [ATL (2006 film), cinematographyBy, Fred Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Murphy
Context triple: [ATL (2006 film), cinematographyBy, Fred Murphy]
  • A. Fred Murphy chosen
    Fred Murphy is an American cinematographer known for his work on films such as "Hoosiers," as well as numerous other feature films and television projects.
  • B. Pat Byrne
    Pat Byrne is a musician best known as a member of the influential American noise rock band Big Black.
  • C. Sterling Barbour
    Sterling Barbour is one of the children of Haley Barbour, the former governor of Mississippi and prominent Republican political figure.
  • D. Fred Dewhurst
    Fred Dewhurst was an English footballer best known as a key forward for Preston North End during their dominant late-19th-century era.
  • E. Tom L. Johnson
    Tom L. Johnson was a prominent early 20th-century American politician and progressive reformer known for his advocacy of municipal ownership and tax reform while leading Cleveland’s transformation into a model of good government.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6364091f4819088b27d0ffdf6010d completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.