Triple

T12589885
Position Surface form Disambiguated ID Type / Status
Subject Léo Delibes E300574 entity
Predicate employer P7 FINISHED
Object Opéra-Comique E189257 NE 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: Opéra-Comique | Statement: [Léo Delibes, employer, Opéra-Comique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opéra-Comique
Context triple: [Léo Delibes, employer, Opéra-Comique]
  • A. Opéra-Comique chosen
    Opéra-Comique is a historic Parisian opera house and company known for staging French operas that combine spoken dialogue with music.
  • B. Théâtre Lyrique
    Théâtre Lyrique was a prominent 19th-century Parisian opera house known for staging innovative French operas and major premieres.
  • C. Chœur de l’Opéra-Comique
    The Chœur de l’Opéra-Comique is the resident professional chorus of Paris’s historic Opéra-Comique, performing in its operatic and lyrical productions.
  • D. Opéra de Massy
    Opéra de Massy is a prominent opera house and cultural institution located in the Parisian suburb of Massy, France, known for its diverse program of opera, music, and performing arts.
  • E. Théâtre des Bouffes-Parisiens
    Théâtre des Bouffes-Parisiens is a historic Parisian theater renowned for its 19th-century origins and its role in popularizing operetta and light musical comedy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668656d5c819098f9824febf79712 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:06 p.m.