Triple

T31413579
Position Surface form Disambiguated ID Type / Status
Subject Act III (The Sleeping Beauty) E801331 entity
Predicate scenicDesign P111496 FINISHED
Object lavish palace setting 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: lavish palace setting | Statement: [Act III (The Sleeping Beauty), scenicDesign, lavish palace setting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scenicDesign
Context triple: [Act III (The Sleeping Beauty), scenicDesign, lavish palace setting]
  • A. scenographyStyle
    Indicates the stylistic approach or design aesthetic used in the staging and visual arrangement of a scene or performance.
  • B. stageDesigner
    Indicates that one entity is responsible for designing or creating the stage or set for a performance or event in relation to another entity.
  • C. designedForTheatre
    Indicates that something was specifically created or intended to be used in a theatre context or theatrical setting.
  • D. productionDesign chosen
    Indicates that one entity is responsible for the overall visual and physical design of a production (such as a film, TV show, or stage performance) for another entity.
  • E. propDesigner
    Indicates that an entity serves as the designer or creator of a particular property, item, or artifact.
  • 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_69f348c0dd648190bf2fd7642f78eb06 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a5f71b2c8190aade8a83f465be0c completed May 3, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69f69fe66df08190958558d63ee623d9 completed May 3, 2026, 1:07 a.m.
Created at: April 30, 2026, 8:41 p.m.