Triple

T32766822
Position Surface form Disambiguated ID Type / Status
Subject The House in the Square E837923 entity
Predicate hasRomanticTheme P154818 FINISHED
Object love across different time periods 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: love across different time periods | Statement: [The House in the Square, hasRomanticTheme, love across different time periods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanticTheme
Context triple: [The House in the Square, hasRomanticTheme, love across different time periods]
  • A. hasRomanticPlotline chosen
    Indicates that there is a romantic storyline or relationship development present between the entities.
  • B. hasRomanticSubplot
    Indicates that a work includes a secondary storyline centered on a romantic relationship between characters.
  • C. hasRomanticSceneAt
    Indicates that a romantic scene occurs at a specific location or point in time within a work or context.
  • D. includesRomanticCues
    Indicates that the referenced content, behavior, or interaction contains elements suggestive of romantic interest, affection, or attraction between entities.
  • E. romanticThemeExpressedThrough
    Indicates that a romantic theme is conveyed or manifested through a particular medium, element, or aspect of a work or situation.
  • 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_69f34939857c8190aa9970c51feec1eb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fda94697c4819081291967202248be completed May 8, 2026, 9:13 a.m.
PD Predicate disambiguation batch_69fda5973fcc8190a57daef31fb70a49 completed May 8, 2026, 8:57 a.m.
Created at: May 1, 2026, 1:13 a.m.