Triple

T24870195
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Musuraca E622397 entity
Predicate cinematographicTechnique P2760 FINISHED
Object use of practical light sources within the frame 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: use of practical light sources within the frame | Statement: [Nicholas Musuraca, cinematographicTechnique, use of practical light sources within the frame]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cinematographicTechnique
Context triple: [Nicholas Musuraca, cinematographicTechnique, use of practical light sources within the frame]
  • A. filmingTechnique chosen
    Indicates the specific method or style used to capture visual content during the filming process.
  • B. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • C. cinematicForm
    Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
  • D. cinematicContext
    Indicates the relationship in which something is situated within, shaped by, or relevant to the circumstances, style, or conventions of cinema or film.
  • E. filmmakingTechnology
    Indicates the use or involvement of specific tools, methods, or equipment in the process of creating films.
  • 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_69e2fac3fdbc81909c2ec49be5743cd9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
Created at: April 18, 2026, 5:23 a.m.