Triple

T14397460
Position Surface form Disambiguated ID Type / Status
Subject Ninny Threadgoode E356985 entity
Predicate frameStoryFunction P7324 FINISHED
Object links past events in Whistle Stop to present-day scenes in the nursing home 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: links past events in Whistle Stop to present-day scenes in the nursing home | Statement: [Ninny Threadgoode, frameStoryFunction, links past events in Whistle Stop to present-day scenes in the nursing home]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frameStoryFunction
Context triple: [Ninny Threadgoode, frameStoryFunction, links past events in Whistle Stop to present-day scenes in the nursing home]
  • A. storyFunction
    Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
  • B. narrativeFrame chosen
    Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
  • C. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • D. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • E. storyEngine
    Indicates that one entity functions as a narrative-generating or plot-controlling mechanism for another entity or set of events.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:17 a.m.