Triple

T25240333
Position Surface form Disambiguated ID Type / Status
Subject T’Pol E632445 entity
Predicate emotionalControl P87208 FINISHED
Object trained in Vulcan discipline of logic 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: trained in Vulcan discipline of logic | Statement: [T’Pol, emotionalControl, trained in Vulcan discipline of logic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emotionalControl
Context triple: [T’Pol, emotionalControl, trained in Vulcan discipline of logic]
  • A. emotionalTrait chosen
    Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
  • B. emotionalDynamic
    Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
  • C. emotionalCoreOf
    Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
  • D. emotionalChallenge
    Indicates a situation where one entity causes or experiences significant emotional difficulty or stress in relation to another entity or circumstance.
  • E. emotionalCounterpartOf
    Indicates that one entity serves as the emotional equivalent, complement, or matching emotional role of another entity.
  • 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47dfe32488190b3d19a3196b51c68 completed May 1, 2026, 10:18 a.m.
PD Predicate disambiguation batch_69f44d849e7c81909945438f40e35362 completed May 1, 2026, 6:51 a.m.
Created at: April 21, 2026, 1:07 p.m.