Triple

T23877915
Position Surface form Disambiguated ID Type / Status
Subject Sacheen Littlefeather declined the Best Actor award on behalf of Marlon Brando E600117 entity
Predicate involvedFilm P29643 FINISHED
Object The Godfather 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: The Godfather | Statement: [Sacheen Littlefeather declined the Best Actor award on behalf of Marlon Brando, involvedFilm, The Godfather]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvedFilm
Context triple: [Sacheen Littlefeather declined the Best Actor award on behalf of Marlon Brando, involvedFilm, The Godfather]
  • A. includedInFilm
    Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
  • B. filmAssociatedWith chosen
    Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
  • C. mentionedInFilm
    Indicates that an entity is referenced or talked about within the content of a film.
  • D. partOfFilmographyOf
    Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
  • E. producedFilm
    Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
  • 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_69e295318e148190b9979d8fc02e168f completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cc032c9c81909986ae6f672c1ad1 completed April 29, 2026, 9:14 a.m.
PD Predicate disambiguation batch_69f1614a65a88190bde1efb368a151e4 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:23 p.m.