Triple

T22251411
Position Surface form Disambiguated ID Type / Status
Subject La Morte amoureuse E549986 entity
Predicate protagonistInternalConflict P76396 FINISHED
Object struggle between priestly vows and carnal desire 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: struggle between priestly vows and carnal desire | Statement: [La Morte amoureuse, protagonistInternalConflict, struggle between priestly vows and carnal desire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protagonistInternalConflict
Context triple: [La Morte amoureuse, protagonistInternalConflict, struggle between priestly vows and carnal desire]
  • A. storyConflict chosen
    Indicates a relationship where a story contains or centers around a central problem, opposition, or tension that drives its plot.
  • B. protagonistIs
    Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
  • C. protagonistReaction
    Indicates how a main character responds emotionally or behaviorally to a particular event, situation, or stimulus.
  • D. protagonistAction
    Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
  • E. storyConflictSource
    Indicates the source or cause from which a story’s central conflict arises.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138befa208190877760dec1896740 completed April 28, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69e72fe1e0cc8190bd13cff2a0846225 completed April 21, 2026, 8:05 a.m.
Created at: April 16, 2026, 8:39 p.m.