Triple

T33118519
Position Surface form Disambiguated ID Type / Status
Subject Dorian E847525 entity
Predicate hasEmotionSimulation P177387 FINISHED
Object True 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: True | Statement: [Dorian, hasEmotionSimulation, True]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEmotionSimulation
Context triple: [Dorian, hasEmotionSimulation, True]
  • A. requiresEmotion
    Indicates that one entity’s occurrence, validity, or performance depends on the presence or experience of a particular emotion in another entity.
  • B. hasTypeOfEmotion
    Indicates that an entity experiences, expresses, or is associated with a particular kind or category of emotion.
  • C. hasEmote
    Indicates that an entity expresses or is associated with a particular emotion or emotive expression.
  • D. hasMoodSystem
    Indicates that an entity possesses or is associated with a system responsible for managing or representing moods or emotional states.
  • E. hasEmotionalDimension
    Indicates that something involves, expresses, or affects emotions as a significant aspect of its nature or impact.
  • 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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6fb93224881908fc66fe76115fcdb completed May 3, 2026, 7:38 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f6fb17d5ec81909091e37e1ddbe577 completed May 3, 2026, 7:36 a.m.
Created at: May 1, 2026, 1:27 a.m.