Triple

T33403297
Position Surface form Disambiguated ID Type / Status
Subject Catherine (ex‑wife) E855371 entity
Predicate emotionalToneOfRelationshipWithTheodore P176864 FINISHED
Object emotionally complex 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: emotionally complex | Statement: [Catherine (ex‑wife), emotionalToneOfRelationshipWithTheodore, emotionally complex]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emotionalToneOfRelationshipWithTheodore
Context triple: [Catherine (ex‑wife), emotionalToneOfRelationshipWithTheodore, emotionally complex]
  • A. relationshipToHeed
    Indicates a relationship in which one entity is expected to pay attention to, respect, or follow the guidance, warnings, or wishes of another entity.
  • B. relationshipToPete
    Indicates the specific type of relationship or connection that an entity has to Pete.
  • C. emotionallyAttachedTo
    Indicates that one entity has a strong emotional bond, affection, or dependence directed toward another entity.
  • D. emotionTowardsWife
    Indicates that a person experiences or expresses a particular emotion directed toward their wife.
  • E. emotionalCounterpartOf
    Indicates that one entity serves as the emotional equivalent, complement, or matching emotional role of another entity.
  • 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_69f3496e3f1c8190bcecfa82aa9d17ff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
PDg Predicate description generation batch_69f6f37f36ac8190b1bff8711d6771cb completed May 3, 2026, 7:04 a.m.
Created at: May 1, 2026, 1:36 a.m.