Triple

T28404761
Position Surface form Disambiguated ID Type / Status
Subject Kenny Williams E719496 entity
Predicate hasFictionalRomanticInterest P192977 FINISHED
Object Maxine Carroll 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: Maxine Carroll | Statement: [Kenny Williams, hasFictionalRomanticInterest, Maxine Carroll]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalRomanticInterest
Context triple: [Kenny Williams, hasFictionalRomanticInterest, Maxine Carroll]
  • A. hasRomanticTensionWith
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
  • B. formerRomanticInterest
    Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
  • C. isRomanticLeadOf
    Indicates that one entity serves as the primary romantic partner or love-interest counterpart to another entity within a narrative or story.
  • D. romanticPartnerInSeries
    Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
  • E. hasRomanticEntanglementInPlot
    Indicates that a romantic relationship or involvement between characters is a significant element within the narrative plot.
  • 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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fd35d108908190b79b1e8e6bbd62aa completed May 8, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69fd34cb46108190b43c3b7f67ec4cd4 completed May 8, 2026, 12:56 a.m.
PDg Predicate description generation batch_69fd35d029588190a525aa8a506e7708 completed May 8, 2026, 1:01 a.m.
Created at: April 28, 2026, 1:22 a.m.