Triple

T8140774
Position Surface form Disambiguated ID Type / Status
Subject Martin E190089 entity
Predicate attitudeTowardHumanNature P80897 FINISHED
Object deeply skeptical 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: deeply skeptical | Statement: [Martin, attitudeTowardHumanNature, deeply skeptical]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attitudeTowardHumanNature
Context triple: [Martin, attitudeTowardHumanNature, deeply skeptical]
  • A. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • B. cultAttitude
    Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
  • C. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • D. moralTone
    Indicates the evaluative moral quality or ethical character expressed in or associated with an action, statement, or situation.
  • E. hasMoralPerspective
    Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
  • F. None of above. chosen

Provenance (4 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4442299881909db56f7475cbb99a completed March 31, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69cb369c0d0481908762c488d7f77e74 completed March 31, 2026, 2:51 a.m.
PDg Predicate description generation batch_69cb39d20e78819092ea9e04357be008 completed March 31, 2026, 3:04 a.m.
Created at: March 30, 2026, 5:36 p.m.