Triple

T31418201
Position Surface form Disambiguated ID Type / Status
Subject Victoria E801454 entity
Predicate hasRomanticStatus P82370 FINISHED
Object on-again, off-again relationship with Jackie 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: on-again, off-again relationship with Jackie | Statement: [Victoria, hasRomanticStatus, on-again, off-again relationship with Jackie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanticStatus
Context triple: [Victoria, hasRomanticStatus, on-again, off-again relationship with Jackie]
  • A. romanticRelationshipStatus chosen
    Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
  • B. hasRomanticEntanglementInPlot
    Indicates that a romantic relationship or involvement between characters is a significant element within the narrative plot.
  • C. hasRomanticMisadventures
    Indicates that an entity experiences a series of problematic, comical, or unsuccessful romantic relationships or encounters.
  • D. hasFictionalRomanticInterest
    Indicates that one entity is portrayed as having a romantic attraction or interest toward another entity within a fictional context.
  • E. hasRomanticPlotline
    Indicates that there is a romantic storyline or relationship development present between the entities.
  • 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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
Created at: April 30, 2026, 8:45 p.m.