Triple

T16229084
Position Surface form Disambiguated ID Type / Status
Subject Halloween (2007 film) E393931 entity
Predicate cinematographyBy P1953 FINISHED
Object Phil Parmet E1200879 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: Phil Parmet | Statement: [Halloween (2007 film), cinematographyBy, Phil Parmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Parmet
Context triple: [Halloween (2007 film), cinematographyBy, Phil Parmet]
  • A. Phil Parmet chosen
    Phil Parmet is an American cinematographer known for his work on genre films, including Rob Zombie’s horror movie "The Devil’s Rejects."
  • B. Clara Mamet
    Clara Mamet is an American actress, playwright, and screenwriter known for her work in independent film and theater and as the daughter of playwright David Mamet.
  • C. Phyllis Nagy
    Phyllis Nagy is an American screenwriter, director, and playwright best known for her Academy Award–nominated adaptation of Patricia Highsmith’s novel into the film "Carol."
  • D. Sarah Treem
    Sarah Treem is an American television writer, producer, and playwright best known for co-creating and showrunning the acclaimed drama series "The Affair."
  • E. Elizabeth Swados
    Elizabeth Swados was an American composer, writer, and director known for her innovative, socially engaged musical theater works on and off Broadway.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed55a7c8190b4bc8bc325a5da5b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.