Triple

T8489050
Position Surface form Disambiguated ID Type / Status
Subject The Motion of Stars E200910 entity
Predicate usesCinematicTechniques P61780 FINISHED
Object early cinematic techniques 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 cinematic techniques | Statement: [The Motion of Stars, usesCinematicTechniques, early cinematic techniques]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCinematicTechniques
Context triple: [The Motion of Stars, usesCinematicTechniques, early cinematic techniques]
  • A. filmingTechnique
    Indicates the specific method or style used to capture visual content during the filming process.
  • B. hasDramaticTechnique
    Indicates that one entity employs, features, or is characterized by a particular dramatic technique associated with another entity.
  • C. cinematicContext chosen
    Indicates the relationship in which something is situated within, shaped by, or relevant to the circumstances, style, or conventions of cinema or film.
  • D. hasCinematicThemes
    Indicates that something incorporates or is characterized by themes, motifs, or stylistic elements commonly associated with cinema or film.
  • E. 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.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5581d308190b47d76dd49a36529 completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.