Triple

T28261239
Position Surface form Disambiguated ID Type / Status
Subject La Fille de Madame Angot E712586 entity
Predicate hasLibrettoType P184593 FINISHED
Object spoken dialogue with musical numbers 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: spoken dialogue with musical numbers | Statement: [La Fille de Madame Angot, hasLibrettoType, spoken dialogue with musical numbers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLibrettoType
Context triple: [La Fille de Madame Angot, hasLibrettoType, spoken dialogue with musical numbers]
  • A. hasLibrettoPublication
    Indicates that a work is associated with a specific published version of its libretto.
  • B. includesLibretto
    Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
  • C. librettoBy
    Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
  • D. librettoBasedOn
    Indicates that the libretto of a musical or operatic work is derived from, adapted from, or otherwise based on another pre-existing work or source.
  • E. librettoStyle
    Indicates the stylistic characteristics or manner in which a libretto (the text of an opera or similar work) is written or composed.
  • F. None of above. chosen

Provenance (4 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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f7b365288c8190bcb11fcfba028737 completed May 3, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69f7b1b8a9fc8190a1279e67a2d12707 completed May 3, 2026, 8:36 p.m.
PDg Predicate description generation batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d completed May 3, 2026, 8:41 p.m.
Created at: April 27, 2026, 11:11 p.m.