Triple

T34981152
Position Surface form Disambiguated ID Type / Status
Subject The Oneders E1008816 entity
Predicate managerInFilm P192007 FINISHED
Object Mr. White 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: Mr. White | Statement: [The Oneders, managerInFilm, Mr. White]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: managerInFilm
Context triple: [The Oneders, managerInFilm, Mr. White]
  • A. leaderInFilm
    Indicates that an entity serves as a leading actor, actress, or primary performer in a particular film.
  • B. ownedByInFilm
    Indicates that one entity is portrayed as being owned or possessed by another entity within the context of a specific film.
  • C. 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).
  • D. directorOfWorkFeaturingSubject
    Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
  • E. castingDirectorOf
    Indicates that a person serves as the casting director responsible for selecting the cast of a particular production or project.
  • F. None of above. chosen

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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcf1b3d9a08190850b388308656266 completed May 7, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69fcf0226d8c8190b23dceafb1794995 completed May 7, 2026, 8:03 p.m.
PDg Predicate description generation batch_69fcf1b241888190a243f07051c71383 completed May 7, 2026, 8:10 p.m.
Created at: May 3, 2026, 4:01 p.m.