Triple

T32939369
Position Surface form Disambiguated ID Type / Status
Subject How to Train Your Dragon (additional editing) E842624 entity
Predicate instanceOf P0 FINISHED
Object film editing contribution C60889 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07
Target class: film editing contribution
Context triple: [How to Train Your Dragon (additional editing), instanceOf, film editing contribution]
  • A. film editor
    A film editor is a professional who selects, arranges, and refines recorded footage, sound, and visual elements to craft a coherent and engaging final motion picture.
  • B. film editing book
    A film editing book is a specialized text that explains the principles, techniques, and creative processes involved in assembling and refining motion picture footage into a coherent and impactful final work.
  • C. film cut
    A film cut is a basic editing transition where one shot is instantly replaced by another, creating a continuous flow of visual and narrative information.
  • D. video editing technique
    A video editing technique is a specific method or approach used to manipulate, arrange, and enhance video footage to achieve a desired visual, narrative, or emotional effect.
  • E. film splicer
    A film splicer is a device used to cut and join segments of photographic or motion picture film, creating seamless edits or repairs.
  • F. None of above. chosen

Provenance (1 batch)

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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
Created at: May 1, 2026, 1:20 a.m.