Triple

T31323980
Position Surface form Disambiguated ID Type / Status
Subject Batman: Hush E798828 entity
Predicate featuresRomanticSubplotBetween P150696 FINISHED
Object Batman and Catwoman 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: Batman and Catwoman | Statement: [Batman: Hush, featuresRomanticSubplotBetween, Batman and Catwoman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresRomanticSubplotBetween
Context triple: [Batman: Hush, featuresRomanticSubplotBetween, Batman and Catwoman]
  • A. hasRomanticSubplot chosen
    Indicates that a work includes a secondary storyline centered on a romantic relationship between characters.
  • B. romanticSubplotCentral
    Indicates that a romantic subplot is a primary, driving element of the narrative rather than a minor or peripheral thread.
  • C. hasRomanticPlotline
    Indicates that there is a romantic storyline or relationship development present between the entities.
  • D. hasRomanticEntanglementInPlot
    Indicates that a romantic relationship or involvement between characters is a significant element within the narrative plot.
  • E. romanticPlotFunction
    Indicates a narrative relationship where characters are involved in or contribute to a romantic storyline or romantic development within the plot.
  • 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_69f224e3238c8190b2291f50ea4962cd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a0075be7f54819081ab12bc1dab53bb completed May 10, 2026, 12:10 p.m.
PD Predicate disambiguation batch_6a0073a19030819098c23faa3adcb96e completed May 10, 2026, 12:01 p.m.
Created at: April 29, 2026, 9:15 p.m.