Triple

T16988643
Position Surface form Disambiguated ID Type / Status
Subject Harry O. Hoyt E412134 entity
Predicate hasPartInFilmHistory P125495 FINISHED
Object early use of stop-motion animation in feature films 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: early use of stop-motion animation in feature films | Statement: [Harry O. Hoyt, hasPartInFilmHistory, early use of stop-motion animation in feature films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInFilmHistory
Context triple: [Harry O. Hoyt, hasPartInFilmHistory, early use of stop-motion animation in feature films]
  • A. includedInFilm
    Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
  • B. visitedInFilm
    Indicates that a location or place is depicted as being visited by a character within the events of a film.
  • C. basedInFilm
    Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular 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. mentionedInFilm
    Indicates that an entity is referenced or talked about within the content of a film.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27dca248190a9b73b16439d5631 completed April 18, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69e35d4dff4881909b384e30f2d36bff completed April 18, 2026, 10:30 a.m.
PDg Predicate description generation batch_69e3753f93c88190808fec5692f66699 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:32 a.m.