Triple

T34937557
Position Surface form Disambiguated ID Type / Status
Subject Teddy McArdle E1007617 entity
Predicate storyAmbiguity P71448 FINISHED
Object fate left unresolved at the end of the story 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: fate left unresolved at the end of the story | Statement: [Teddy McArdle, storyAmbiguity, fate left unresolved at the end of the story]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storyAmbiguity
Context triple: [Teddy McArdle, storyAmbiguity, fate left unresolved at the end of the story]
  • A. narrativeAmbiguity chosen
    Indicates that a narrative contains unclear, open-ended, or multiple possible interpretations of events, motivations, or outcomes.
  • B. ambiguity
    Indicates that there is uncertainty, vagueness, or multiple possible interpretations in the relationship or action between entities.
  • C. languageAmbiguity
    Indicates that the meaning, interpretation, or reference of a linguistic expression is unclear or can be understood in multiple ways.
  • D. storyTwist
    Indicates an unexpected development or reversal that significantly changes the direction or understanding of a story’s events or relationships.
  • E. narrativeUncertainty
    Indicates that the narrative contains ambiguity, doubt, or unreliability regarding events, perspectives, or outcomes.
  • 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_69f76dc513fc819084a1ff52abbfa5bc completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4 p.m.