Triple

T18587868
Position Surface form Disambiguated ID Type / Status
Subject 28th Academy Awards E454283 entity
Predicate bestCinematographyBlackAndWhite P37206 FINISHED
Object Marty NE NERFINISHED

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: Marty | Statement: [28th Academy Awards, bestCinematographyBlackAndWhite, Marty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marty
Context triple: [28th Academy Awards, bestCinematographyBlackAndWhite, Marty]
  • A. Marty chosen
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • B. Marty
    Marty is a common diminutive form of the given name Martha.
  • C. Marty
    Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
  • D. Marty
    Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
  • E. Marty
    Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
  • 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: bestCinematographyBlackAndWhite
Context triple: [28th Academy Awards, bestCinematographyBlackAndWhite, Marty]
  • A. bestCinematographyWinner chosen
    Indicates that the subject is the work or individual that won the award for best cinematography in a given context or event.
  • B. cinematographyAwardedTo
    Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
  • C. numberOfAcademyAwardsForBestCinematography
    Indicates the number of Academy Awards received for Best Cinematography.
  • D. cinematographyAwardNominee
    Indicates that an entity was nominated to receive an award specifically recognizing excellence in cinematography.
  • E. 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.
  • F. None of above.

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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b2f20481908da74447cd08d5bd completed April 19, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69e478c98d4c81909d37a0e72c6e7bd0 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:44 a.m.