Triple

T9329982
Position Surface form Disambiguated ID Type / Status
Subject Johnny Parkson Riggs E224490 entity
Predicate associatedWithMoralConflict P81120 FINISHED
Object deception versus faith 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: deception versus faith | Statement: [Johnny Parkson Riggs, associatedWithMoralConflict, deception versus faith]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithMoralConflict
Context triple: [Johnny Parkson Riggs, associatedWithMoralConflict, deception versus faith]
  • A. hasMoralConflictAbout
    Indicates that an entity experiences internal ethical tension, doubt, or disagreement regarding another entity, action, or situation.
  • B. hasMoralIssue chosen
    Indicates that there exists an ethical concern, dilemma, or conflict associated with the referenced entity or situation.
  • C. moralImplication
    Indicates that one situation, action, or state of affairs entails or suggests a particular moral judgment, obligation, or ethical consequence.
  • D. moralAssociation
    Indicates a perceived ethical or moral connection between entities, such as one influencing or reflecting the moral character, values, or judgment of the other.
  • E. hasMoralComplexity
    Indicates that the relationship or action involves nuanced ethical considerations, conflicting values, or ambiguity in determining what is morally right or wrong.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37acbc04819092a67d7f392c74cd completed April 1, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cc7a643924819097f01144734901cf completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:39 p.m.