Triple

T35192353
Position Surface form Disambiguated ID Type / Status
Subject Gary Granger E1016153 entity
Predicate alignmentFromPerspectiveOfStory P140911 FINISHED
Object conformist 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: conformist | Statement: [Gary Granger, alignmentFromPerspectiveOfStory, conformist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alignmentFromPerspectiveOfStory
Context triple: [Gary Granger, alignmentFromPerspectiveOfStory, conformist]
  • A. alignmentInStory
    Indicates how a character’s moral or ethical stance (e.g., good, neutral, evil) is portrayed within the context of a specific story.
  • B. narrativePerspective
    Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
  • C. narrativelyCenteredIn
    Indicates that an event, character, or element is positioned as the primary focus or organizing center of a narrative within a given context.
  • D. portrayedFromPerspectiveOf chosen
    Indicates that something is depicted or represented as seen from the viewpoint or subjective perspective of a particular entity.
  • E. alignmentAtIntroduction
    Indicates that two entities share a particular alignment or stance at the moment one is first introduced.
  • 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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dc8627c8190b19f34a1019a30f1 completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b9106008190930b3b3675b737d6 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.