Triple

T33700563
Position Surface form Disambiguated ID Type / Status
Subject Sylvia E863443 entity
Predicate dramaticDeviceUsed P73293 FINISHED
Object cross-dressing 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: cross-dressing | Statement: [Sylvia, dramaticDeviceUsed, cross-dressing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dramaticDeviceUsed
Context triple: [Sylvia, dramaticDeviceUsed, cross-dressing]
  • A. hasDramaticTechnique chosen
    Indicates that one entity employs, features, or is characterized by a particular dramatic technique associated with another entity.
  • B. dramaticFunction
    Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
  • C. dramaticConvention
    Indicates a relationship where a particular technique, device, or practice is recognized and used as an accepted convention within dramatic or theatrical storytelling.
  • D. dramaticFeature
    Indicates that one entity possesses or exhibits a notable dramatic characteristic or element in relation to another entity.
  • E. metaTheatricalDevice
    Indicates a relationship where a theatrical work self-consciously draws attention to its own nature as theater, performance, or fiction (e.g., breaking the fourth wall, play-within-a-play).
  • 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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa8ca3808190be2fd9e5fb4c2146 completed May 3, 2026, 7:34 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.