Triple

T29469342
Position Surface form Disambiguated ID Type / Status
Subject The Asthenic Syndrome E747467 entity
Predicate usesCinematographyStyle P41012 FINISHED
Object black-and-white sequences 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: black-and-white sequences | Statement: [The Asthenic Syndrome, usesCinematographyStyle, black-and-white sequences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCinematographyStyle
Context triple: [The Asthenic Syndrome, usesCinematographyStyle, black-and-white sequences]
  • A. cinematographyIncludes
    Indicates that a cinematographic work or process contains or makes use of specific visual techniques, elements, or components as part of its overall execution.
  • B. hasCinematicFeature
    Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
  • C. 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.
  • D. hasFilmStyle chosen
    Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
  • E. cameraStyle
    Indicates the characteristic visual approach or technique used by a camera in capturing or presenting imagery.
  • 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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f7764ab1fc81909f9348db87bd7692 completed May 3, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69f76905d9c88190b1ee810bc9ab644f completed May 3, 2026, 3:25 p.m.
Created at: April 28, 2026, 3:56 p.m.