Triple

T33977663
Position Surface form Disambiguated ID Type / Status
Subject Joanna Lyppiatt E871184 entity
Predicate hasRomanticEntanglementsWith P26473 FINISHED
Object Garry Essendine NE NERFINISHED

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: Garry Essendine | Statement: [Joanna Lyppiatt, hasRomanticEntanglementsWith, Garry Essendine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanticEntanglementsWith
Context triple: [Joanna Lyppiatt, hasRomanticEntanglementsWith, Garry Essendine]
  • A. hasRomanticEntanglementInPlot
    Indicates that a romantic relationship or involvement between characters is a significant element within the narrative plot.
  • B. hasRomanticTensionWith chosen
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
  • C. hasFictionalRomanticInterest
    Indicates that one entity is portrayed as having a romantic attraction or interest toward another entity within a fictional context.
  • D. hasAffairWith
    Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
  • E. hasRomanticMisadventures
    Indicates that an entity experiences a series of problematic, comical, or unsuccessful romantic relationships or encounters.
  • 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_69f3499da0188190ab1a4ff06fb06a2a completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe2f078c24819082ba396b56f02808 completed May 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69fe228fe1988190baf3bb34897f3dbe completed May 8, 2026, 5:51 p.m.
Created at: May 1, 2026, 1:50 a.m.