Triple

T9394376
Position Surface form Disambiguated ID Type / Status
Subject Sister Aloysius Beauvier E226105 entity
Predicate internalStruggle P20436 FINISHED
Object wrestling with doubt — 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: wrestling with doubt | Statement: [Sister Aloysius Beauvier, internalStruggle, wrestling with doubt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internalStruggle
Context triple: [Sister Aloysius Beauvier, internalStruggle, wrestling with doubt]
  • A. internalConflict chosen
    Indicates a relationship where an entity experiences opposing desires, beliefs, or motives within itself, leading to psychological or emotional tension.
  • B. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • C. mainConflict
    Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
  • D. hasMoralConflictAbout
    Indicates that an entity experiences internal ethical tension, doubt, or disagreement regarding another entity, action, or situation.
  • E. struggleFor
    Indicates a relationship where one entity exerts effort or engages in conflict in order to obtain, achieve, or defend another entity or goal.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd511150008190be04142e477e8bf1 completed April 1, 2026, 5:08 p.m.
PD Predicate disambiguation batch_69cca545b2448190a4297312e39c21ac completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:45 p.m.