Triple

T37721706
Position Surface form Disambiguated ID Type / Status
Subject The Haunted Bookshop E939600 entity
Predicate hasRomanticSubplotBetween P150696 FINISHED
Object Aubrey Gilbert and Titania Chapman 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: Aubrey Gilbert and Titania Chapman | Statement: [The Haunted Bookshop, hasRomanticSubplotBetween, Aubrey Gilbert and Titania Chapman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanticSubplotBetween
Context triple: [The Haunted Bookshop, hasRomanticSubplotBetween, Aubrey Gilbert and Titania Chapman]
  • A. hasRomanticSubplot chosen
    Indicates that a work includes a secondary storyline centered on a romantic relationship between characters.
  • B. hasRomanticPlotline
    Indicates that there is a romantic storyline or relationship development present between the entities.
  • C. hasRomanticEntanglementInPlot
    Indicates that a romantic relationship or involvement between characters is a significant element within the narrative plot.
  • D. isRomanticLeadOf
    Indicates that one entity serves as the primary romantic partner or love-interest counterpart to another entity within a narrative or story.
  • E. hasRomanticTensionWith
    Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two 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_69f76edc208c8190bc8b9683f75e1024 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fef3ceef648190b58027c93d757438 completed May 9, 2026, 8:43 a.m.
PD Predicate disambiguation batch_69fef359da2c819091a034387b08821f completed May 9, 2026, 8:42 a.m.
Created at: May 3, 2026, 4:18 p.m.