Triple

T26403713
Position Surface form Disambiguated ID Type / Status
Subject Haley Graham E663772 entity
Predicate trueBackstory P119461 FINISHED
Object left after learning coach sacrificed teammate’s safety 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: left after learning coach sacrificed teammate’s safety | Statement: [Haley Graham, trueBackstory, left after learning coach sacrificed teammate’s safety]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trueBackstory
Context triple: [Haley Graham, trueBackstory, left after learning coach sacrificed teammate’s safety]
  • A. expandsBackstoryOf
    Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
  • B. hasFictionalBackstory
    Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
  • C. roleInCharacterBackstory chosen
    Indicates that one entity plays a specific role or part in shaping another entity’s character backstory or personal history.
  • D. protagonistBackground
    Indicates that one entity serves as the background, history, or prior circumstances of the protagonist entity in a narrative or story.
  • E. originStoryIncludes
    Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
  • 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610f61c5c81909e64c651752952b2 completed May 2, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f5f800fa9c8190aab0962669fde8ac completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 11:33 p.m.