Triple

T31212182
Position Surface form Disambiguated ID Type / Status
Subject Fallen Angels (stage play revival) E795776 entity
Predicate dialogueStyleOfOriginalWork P32673 FINISHED
Object witty 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: witty | Statement: [Fallen Angels (stage play revival), dialogueStyleOfOriginalWork, witty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dialogueStyleOfOriginalWork
Context triple: [Fallen Angels (stage play revival), dialogueStyleOfOriginalWork, witty]
  • A. rhetoricalStyle
    Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
  • B. typicalDialogueStyle chosen
    Indicates the characteristic manner or pattern in which an entity typically communicates or conducts dialogue.
  • C. containsDialogueStyleLyrics
    Indicates that the work includes lyrics written in a dialogue style, where multiple voices or characters speak or interact within the text.
  • D. monologueStyle
    Indicates that an entity delivers or is presented in a monologue format, characterized by a single voice speaking at length without direct interaction from others.
  • E. typicalStyleInFiction
    Indicates the characteristic narrative or artistic style that an entity most commonly exhibits within fictional works.
  • 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_69f224d9d52c8190a61f68ded37fa755 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c28a0e4819099600420cd0da971 completed May 3, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69f696673214819094350e1d2648ef34 completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 9:09 p.m.