Triple

T36502575
Position Surface form Disambiguated ID Type / Status
Subject Put the Blame on Mame E899368 entity
Predicate linkedToFilmDirector P46167 FINISHED
Object Charles Vidor 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: Charles Vidor | Statement: [Put the Blame on Mame, linkedToFilmDirector, Charles Vidor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkedToFilmDirector
Context triple: [Put the Blame on Mame, linkedToFilmDirector, Charles Vidor]
  • A. associatedWithDirectors
    Indicates a direct relationship or connection between an entity and one or more film or project directors.
  • B. directorAssociatedWith
    Indicates a relationship where a director is professionally connected to, responsible for, or involved with a particular entity (such as a work, organization, or project).
  • C. belongsToDirectorFilmographyOf
    Indicates that a film is part of the collection of works directed by a particular director (i.e., included in that director’s filmography).
  • D. filmDirectorOfAssociatedWork chosen
    Indicates that a person serves as the director of the specified creative work (such as a film or related audiovisual production).
  • E. associatedWithLeadActorOfFilm
    Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified 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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69febce5877c8190a5e000ef5331ec88 completed May 9, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69febad1cd588190abc7686bcb39a371 completed May 9, 2026, 4:40 a.m.
Created at: May 3, 2026, 4:10 p.m.