Triple

T5492427
Position Surface form Disambiguated ID Type / Status
Subject Kiss Me, Kate E123731 entity
Predicate metafictionalElement P16928 FINISHED
Object play-within-a-play structure 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: play-within-a-play structure | Statement: [Kiss Me, Kate, metafictionalElement, play-within-a-play structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metafictionalElement
Context triple: [Kiss Me, Kate, metafictionalElement, play-within-a-play structure]
  • A. hasMetafictionalRole
    Indicates that an entity plays a role within a story that self-consciously comments on, references, or breaks the conventions of fiction itself.
  • B. fictionalizationOf
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • C. fictionalMaterial
    Indicates that something is made of, composed of, or incorporates a material that exists only in fiction or imagination.
  • D. fictionalUse
    Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
  • E. literaryFeature chosen
    Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a8df6481908d1643f7342fe6f0 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:10 p.m.