Triple

T18185223
Position Surface form Disambiguated ID Type / Status
Subject Artemio Cruz E435393 entity
Predicate innerConflict P20436 FINISHED
Object tension between ideals and opportunism 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: tension between ideals and opportunism | Statement: [Artemio Cruz, innerConflict, tension between ideals and opportunism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: innerConflict
Context triple: [Artemio Cruz, innerConflict, tension between ideals and opportunism]
  • 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. centralConflictIn
    Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
  • D. mainConflict
    Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
  • E. facesConflictWith
    Indicates that one entity is in opposition, dispute, or contention with another, involving incompatible goals, interests, or actions.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffdccd881908da772db78b9d081 completed April 19, 2026, 2 p.m.
PD Predicate disambiguation batch_69e4331e92408190ad607ba4956a3897 completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:31 a.m.