Triple

T25093386
Position Surface form Disambiguated ID Type / Status
Subject Islam (in fictionalized form) E628523 entity
Predicate narrativeTechniquesUsedOn P79666 FINISHED
Object dream 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: dream sequences | Statement: [Islam (in fictionalized form), narrativeTechniquesUsedOn, dream sequences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeTechniquesUsedOn
Context triple: [Islam (in fictionalized form), narrativeTechniquesUsedOn, dream sequences]
  • A. narrativeStrategy
    Indicates the method or approach used to structure, present, or convey a story or sequence of events.
  • B. narrativeStyle
    Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
  • C. narrativeCharacteristic chosen
    Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
  • D. narrative
    Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
  • E. narrativeFrameWork
    Indicates a relationship where one element provides the structural or conceptual framework within which another element’s narrative is organized, interpreted, or presented.
  • 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46d3f35848190b56a4373c97a7d64 completed May 1, 2026, 9:07 a.m.
PD Predicate disambiguation batch_69f4683472ec8190a483b3b8afe71720 completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 6:24 a.m.