Triple

T24601231
Position Surface form Disambiguated ID Type / Status
Subject Hollywood action cinema E608827 entity
Predicate commonNarrativeTheme P54524 FINISHED
Object good versus evil 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: good versus evil | Statement: [Hollywood action cinema, commonNarrativeTheme, good versus evil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonNarrativeTheme
Context triple: [Hollywood action cinema, commonNarrativeTheme, good versus evil]
  • A. primaryStoryThemes
    Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
  • B. narrativeMotif chosen
    Indicates a recurring thematic element, pattern, or situation that appears across one or more narratives and helps structure or convey their underlying meanings.
  • C. narrativeThemeInvolvement
    Indicates that an entity participates in or contributes to a particular narrative theme within a story or discourse.
  • D. coreNarrative
    Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
  • E. narrativeConcept
    Indicates a conceptual or thematic element within a narrative, such as an idea, motif, or organizing principle that shapes the story’s structure or meaning.
  • 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_69e2c4d060e08190ac9f7c49b1036e20 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:30 a.m.