Triple

T26417001
Position Surface form Disambiguated ID Type / Status
Subject Swish Swish E664122 entity
Predicate hasRumoredSubtext P162334 FINISHED
Object response to criticism 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: response to criticism | Statement: [Swish Swish, hasRumoredSubtext, response to criticism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRumoredSubtext
Context triple: [Swish Swish, hasRumoredSubtext, response to criticism]
  • A. hasRumoredSubtext chosen
    Indicates that something is believed or speculated to contain an implied or hidden meaning that is not explicitly stated.
  • B. usesDoubleEntendre
    Indicates that one entity employs language or expressions with a double meaning, often to convey a hidden or suggestive message alongside a literal one.
  • C. hasRomanticSubplot
    Indicates that a work includes a secondary storyline centered on a romantic relationship between characters.
  • D. romanticMisunderstandingsWith
    Indicates a situation where two entities experience confusion, misinterpretation, or mistaken beliefs about each other’s romantic feelings, intentions, or relationship status.
  • E. secretlyIs
    Indicates that one entity possesses a hidden or undisclosed identity, role, or attribute in relation to another entity.
  • 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_69ee883a04ec81908883c4559f8c7e24 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 26, 2026, 11:41 p.m.