Triple

T18508452
Position Surface form Disambiguated ID Type / Status
Subject Tommy Lee Jones as Gene McClary E452262 entity
Predicate hasMoralDilemmaAbout P76866 FINISHED
Object corporate layoffs 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: corporate layoffs | Statement: [Tommy Lee Jones as Gene McClary, hasMoralDilemmaAbout, corporate layoffs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMoralDilemmaAbout
Context triple: [Tommy Lee Jones as Gene McClary, hasMoralDilemmaAbout, corporate layoffs]
  • A. hasMoralConflictAbout chosen
    Indicates that an entity experiences internal ethical tension, doubt, or disagreement regarding another entity, action, or situation.
  • B. hasMoralIssue
    Indicates that there exists an ethical concern, dilemma, or conflict associated with the referenced entity or situation.
  • C. hasMoralComplexity
    Indicates that the relationship or action involves nuanced ethical considerations, conflicting values, or ambiguity in determining what is morally right or wrong.
  • D. hasMoralPerspective
    Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
  • E. hasMoralFraming
    Indicates that something is presented or interpreted in terms of moral values, judgments, or ethical considerations.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344c6b081908e780ed5c815a766 completed April 19, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69e469dbf5208190b6fc49e02a087f54 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:36 a.m.