Triple

T30952053
Position Surface form Disambiguated ID Type / Status
Subject La Folle de Chaillot E788570 entity
Predicate dramaticDevices P73293 FINISHED
Object allegory 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: allegory | Statement: [La Folle de Chaillot, dramaticDevices, allegory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dramaticDevices
Context triple: [La Folle de Chaillot, dramaticDevices, allegory]
  • A. dramaticConvention
    Indicates a relationship where a particular technique, device, or practice is recognized and used as an accepted convention within dramatic or theatrical storytelling.
  • B. dramaticFunction
    Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
  • C. dramaticForm
    Indicates that one entity is expressed, structured, or realized in the form of a particular dramatic genre or theatrical mode.
  • D. hasDramaticTechnique chosen
    Indicates that one entity employs, features, or is characterized by a particular dramatic technique associated with another entity.
  • E. rhetoricalDevice
    Indicates that one entity is used as a rhetorical device in relation to another, such as a figure of speech, stylistic technique, or persuasive strategy within a discourse.
  • 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_69f224c28c1881908c33b45d689f1724 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ef92308190903a54fc74233269 completed May 3, 2026, 12:03 a.m.
Created at: April 29, 2026, 8:53 p.m.