Triple

T9203730
Position Surface form Disambiguated ID Type / Status
Subject Violet Effingham E220915 entity
Predicate romanticPlotElement P84449 FINISHED
Object love triangle 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: love triangle | Statement: [Violet Effingham, romanticPlotElement, love triangle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanticPlotElement
Context triple: [Violet Effingham, romanticPlotElement, love triangle]
  • A. romanticArc
    Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
  • B. romanticTriangleInvolves chosen
    Indicates a romantic relationship structure in which three individuals are mutually or asymmetrically involved in overlapping romantic connections.
  • C. romanceObstructedBy
    Indicates that a romantic relationship or potential romance is being hindered, blocked, or prevented by some opposing factor or circumstance.
  • D. romanticMisunderstandingsWith
    Indicates a situation where two entities experience confusion, misinterpretation, or mistaken beliefs about each other’s romantic feelings, intentions, or relationship status.
  • E. romanticReputation
    Indicates how an entity is perceived or regarded by others in the context of romantic behavior, history, or involvement.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:26 p.m.