Triple

T36805503
Position Surface form Disambiguated ID Type / Status
Subject Barbara Undershaft E909437 entity
Predicate hasMoralPositionOn P29043 FINISHED
Object acceptance of tainted money for good causes 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: acceptance of tainted money for good causes | Statement: [Barbara Undershaft, hasMoralPositionOn, acceptance of tainted money for good causes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMoralPositionOn
Context triple: [Barbara Undershaft, hasMoralPositionOn, acceptance of tainted money for good causes]
  • A. hasEthicalPosition
    Indicates that an entity holds or is associated with a particular ethical stance, viewpoint, or normative position on moral issues.
  • B. hasMoralPerspective chosen
    Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
  • C. hasIdeologicalPosition
    Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
  • D. philosophicalPositionSupported
    Indicates that one entity endorses, advocates, or provides backing for a particular philosophical stance or viewpoint held by another entity.
  • E. hasMoralAgent
    Indicates that an action, event, or situation involves an entity that bears moral responsibility for it.
  • 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_69f76e7cbbf48190891227b14d041139 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff795d25d08190b7584c72be39d309 completed May 9, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69ff78a90fbc8190a62c57456dc1d4ad completed May 9, 2026, 6:10 p.m.
Created at: May 3, 2026, 4:12 p.m.