Triple

T2352098
Position Surface form Disambiguated ID Type / Status
Subject John Tate E47469 entity
Predicate narrativeArc P24126 FINISHED
Object reconciles with Laurie Strode during the events of the film 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: reconciles with Laurie Strode during the events of the film | Statement: [John Tate, narrativeArc, reconciles with Laurie Strode during the events of the film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeArc
Context triple: [John Tate, narrativeArc, reconciles with Laurie Strode during the events of the film]
  • A. narrativeFrame
    Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
  • B. narrative
    Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
  • C. narrativePassage
    Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
  • D. narrativeType
    Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
  • E. storyline chosen
    Indicates that one entity serves as the narrative plot or sequence of events associated with 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.