Triple

T20908352
Position Surface form Disambiguated ID Type / Status
Subject Inferno (short film) E514866 entity
Predicate mainProfessionOfDirector P141645 FINISHED
Object visual effects artist LITERAL FINISHED

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: visual effects artist | Statement: [Inferno (short film), mainProfessionOfDirector, visual effects artist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainProfessionOfDirector
Context triple: [Inferno (short film), mainProfessionOfDirector, visual effects artist]
  • A. directorOfWorkFeaturingSubject
    Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
  • B. directorSince
    Indicates that one entity has held the role of director for another entity starting from a specified point in time.
  • 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. workOfDirector
    Indicates that a creative work (such as a film, play, or show) is directed by a particular director.
  • E. hasDirectorOfWork
    Indicates that an entity has a specific person or organization serving as the director responsible for overseeing its work 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e901ca50819080b123af7977efbd completed April 21, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e5c9ac91108190a6700fcdf2f11890 completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53d22d08190bc17ed4bed53804a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:48 p.m.