Triple

T22091049
Position Surface form Disambiguated ID Type / Status
Subject Revisionist Westerns E545911 entity
Predicate oftenExploresTheme P139243 FINISHED
Object disillusionment with American myths 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: disillusionment with American myths | Statement: [Revisionist Westerns, oftenExploresTheme, disillusionment with American myths]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenExploresTheme
Context triple: [Revisionist Westerns, oftenExploresTheme, disillusionment with American myths]
  • A. themeExplores chosen
    Indicates that a work, action, or discourse centrally examines, investigates, or delves into a particular theme or subject.
  • B. explores
    Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
  • C. explorationSubject
    Indicates that an entity is the focus or target of an exploration, investigation, or exploratory activity carried out by another entity.
  • D. followsInTheme
    Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
  • E. exploresFor
    Indicates that one entity actively investigates or searches within or on behalf of another entity, typically to discover or obtain something for that other entity’s benefit.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e53dfc81909858cdad8b09c5fb completed April 28, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e71b20ec50819096ac196c798f8e3c completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:29 p.m.