Triple

T11638316
Position Surface form Disambiguated ID Type / Status
Subject The Modern Story E276584 entity
Predicate partOfFilmStructure P77503 FINISHED
Object four parallel stories in Intolerance 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: four parallel stories in Intolerance | Statement: [The Modern Story, partOfFilmStructure, four parallel stories in Intolerance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfFilmStructure
Context triple: [The Modern Story, partOfFilmStructure, four parallel stories in Intolerance]
  • A. filmSceneType
    Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
  • B. sequenceInFilm chosen
    Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
  • C. partOfScene
    Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
  • D. filmicFunction
    Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
  • E. inceptionPart
    Indicates that one entity represents a component, segment, or phase within the initial creation or starting process of another 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69d85dd94bdc819091fa2ed33eb31624 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.