Triple

T31240973
Position Surface form Disambiguated ID Type / Status
Subject Buddy Holly (Weezer music video) E796558 entity
Predicate usesVisualEffectsTechnique P104064 FINISHED
Object compositing 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: compositing | Statement: [Buddy Holly (Weezer music video), usesVisualEffectsTechnique, compositing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesVisualEffectsTechnique
Context triple: [Buddy Holly (Weezer music video), usesVisualEffectsTechnique, compositing]
  • A. specialEffectsTechnique chosen
    Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
  • B. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • C. hasVisuals
    Indicates that one entity includes, displays, or is associated with visual elements or imagery related to another entity.
  • D. hasLightingEffect
    Indicates that one entity applies, produces, or is associated with a particular lighting effect on another entity or environment.
  • E. hasPerspectiveEffect
    Indicates that one entity visually appears altered in size, shape, or position relative to another due to perspective or viewpoint.
  • 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_69f224db69ac81909a370adad6a7ac7c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:11 p.m.