Triple

T37595603
Position Surface form Disambiguated ID Type / Status
Subject Tex Watson (Once Upon a Time in Hollywood character) E935374 entity
Predicate hasNameInFilmCredits P80851 FINISHED
Object Tex Watson 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: Tex Watson | Statement: [Tex Watson (Once Upon a Time in Hollywood character), hasNameInFilmCredits, Tex Watson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInFilmCredits
Context triple: [Tex Watson (Once Upon a Time in Hollywood character), hasNameInFilmCredits, Tex Watson]
  • A. givenNameInFilm
    Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
  • B. hasFilmographyIn
    Indicates that an individual has participated in or contributed to works within a specified filmography or body of film-related productions.
  • C. hasStageNameInFilm chosen
    Indicates that an individual is credited or referred to by a particular stage name in a specific film.
  • D. hasProductionCredit
    Indicates that an entity is credited as having contributed to the production of another entity, such as a work, project, or media item.
  • E. hasImaginaryFilmCredits
    Indicates that an entity is (falsely or fictionally) credited with roles or contributions in films that do not actually exist or did not actually involve them.
  • 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_69f76ecf39c081909baffe597bb55273 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffa5f31c8881908c26e2aa52df6ece completed May 9, 2026, 9:24 p.m.
PD Predicate disambiguation batch_69ffa42aee408190ad1a5f285688b338 completed May 9, 2026, 9:16 p.m.
Created at: May 3, 2026, 4:18 p.m.