Triple

T6538692
Position Surface form Disambiguated ID Type / Status
Subject Laura (film) E168229 entity
Predicate cinematographyAward P37206 FINISHED
Object Academy Award for Best Cinematography, Black-and-White E11841 NE FINISHED

How this triple was built (3 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: Academy Award for Best Cinematography, Black-and-White | Statement: [Laura (film), cinematographyAward, Academy Award for Best Cinematography, Black-and-White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Cinematography, Black-and-White
Context triple: [Laura (film), cinematographyAward, Academy Award for Best Cinematography, Black-and-White]
  • A. Academy Award for Best Cinematography chosen
    The Academy Award for Best Cinematography is a prestigious Oscar presented annually to honor outstanding achievement in motion picture photography and visual composition.
  • B. AFI Award for Best Cinematography
    The AFI Award for Best Cinematography is an Australian film industry honor presented annually by the Australian Film Institute to recognize outstanding achievement in motion picture cinematography.
  • C. Boston Society of Film Critics Award for Best Cinematography
    The Boston Society of Film Critics Award for Best Cinematography is an annual honor recognizing outstanding achievement in cinematography as selected by the Boston-based film critics group.
  • D. Critics' Choice Movie Award for Best Cinematography
    The Critics' Choice Movie Award for Best Cinematography is an annual honor presented by the Critics Choice Association recognizing outstanding achievement in film cinematography.
  • E. Academy Award for Unique and Artistic Picture
    The Academy Award for Unique and Artistic Picture was a short-lived, early Oscar category created to honor films of exceptional artistic merit, famously awarded to the silent film "Sunrise: A Song of Two Humans."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cinematographyAward
Context triple: [Laura (film), cinematographyAward, Academy Award for Best Cinematography, Black-and-White]
  • A. cinematographyAwardedTo
    Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
  • B. bestCinematographyWinner chosen
    Indicates that the subject is the work or individual that won the award for best cinematography in a given context or event.
  • C. numberOfAcademyAwardsForBestCinematography
    Indicates the number of Academy Awards received for Best Cinematography.
  • D. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • E. filmEditingAcademyAward
    Indicates that an entity received or is associated with an Academy Award specifically for film editing.
  • F. None of above.

Provenance (4 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5389fac8190bbad946de79d6086 completed March 27, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:49 p.m.