Triple

T14529845
Position Surface form Disambiguated ID Type / Status
Subject Athénaïse E340877 entity
Predicate exploresConflictBetween P114638 FINISHED
Object individual desire and marital duty 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: individual desire and marital duty | Statement: [Athénaïse, exploresConflictBetween, individual desire and marital duty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exploresConflictBetween
Context triple: [Athénaïse, exploresConflictBetween, individual desire and marital duty]
  • A. religiousConflictBetween
    Indicates a relationship where two entities are in opposition or dispute due to differing religious beliefs, practices, or affiliations.
  • B. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • C. societalConflict
    Indicates a relationship where groups or individuals within a society are in opposition or tension over values, resources, power, or social norms.
  • D. causeOfPoliticalConflict
    Indicates that one entity is the source or reason for a political conflict involving another entity.
  • E. conflictDescribedIn
    Indicates that a particular conflict is documented, detailed, or discussed within a specified information source or description.
  • F. None of above. chosen

Provenance (4 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69de5c518fc08190a6ce4d8be05c4c5d completed April 14, 2026, 3:25 p.m.
PDg Predicate description generation batch_69de5fb5ac548190932f238e37271741 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:22 a.m.