Triple

T13694162
Position Surface form Disambiguated ID Type / Status
Subject Barbershop E328341 entity
Predicate cinematographyBy P1953 FINISHED
Object Tom Priestley Jr. E918895 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: Tom Priestley Jr. | Statement: [Barbershop, cinematographyBy, Tom Priestley Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Priestley Jr.
Context triple: [Barbershop, cinematographyBy, Tom Priestley Jr.]
  • A. Tom Priestley Jr. chosen
    Tom Priestley Jr. is a British cinematographer best known for his work on major feature films, including the 1999 remake of "The Thomas Crown Affair."
  • B. Tom Priestly
    Tom Priestly is a film editor best known for his work on notable movies such as "Alice Doesn't Live Here Anymore."
  • C. Tom Cornwell
    Tom Cornwell is an editor known for his work on the publication "Opening Night."
  • D. Oliver Stapleton
    Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
  • E. Tom Natsworthy
    Tom Natsworthy is the young, idealistic historian’s apprentice who becomes an unlikely hero in the post-apocalyptic, mobile-city world of Mortal Engines.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.