Triple

T2800437
Position Surface form Disambiguated ID Type / Status
Subject Monica Lewinsky scandal E53139 entity
Predicate ethicalAspect P18695 FINISHED
Object workplace power imbalance debate 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: workplace power imbalance debate | Statement: [Monica Lewinsky scandal, ethicalAspect, workplace power imbalance debate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethicalAspect
Context triple: [Monica Lewinsky scandal, ethicalAspect, workplace power imbalance debate]
  • A. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • B. hasEthicalDimension chosen
    Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
  • C. positionOnEthics
    Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
  • D. moralImplication
    Indicates that one situation, action, or state of affairs entails or suggests a particular moral judgment, obligation, or ethical consequence.
  • E. legalAndEthicalDebate
    Indicates a relationship where an issue, action, or decision is the subject of ongoing discussion and disagreement concerning both its legality and its ethical acceptability.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.