Triple

T20841564
Position Surface form Disambiguated ID Type / Status
Subject H.M.S. Pinafore E513114 entity
Predicate originalTheatre P33209 FINISHED
Object Opera Comique NE NERFINISHED

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: Opera Comique | Statement: [H.M.S. Pinafore, originalTheatre, Opera Comique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera Comique
Context triple: [H.M.S. Pinafore, originalTheatre, Opera Comique]
  • A. Opéra Comédie
    Opéra Comédie is a historic opera house and major cultural landmark located on the Place de la Comédie in Montpellier, France.
  • B. The Opera
    "The Opera" is a track from R.'s album that likely showcases a dramatic, theatrical musical style inspired by operatic elements.
  • C. Opéra
    Opéra is a major Paris Métro station and transport hub located near the Palais Garnier in central Paris.
  • D. Opera Comique, London chosen
    Opera Comique, London was a 19th-century London theatre known for staging comic operas and early works by Gilbert and Sullivan.
  • E. Opéra Populaire
    Opéra Populaire is the grand Parisian opera house that serves as the primary setting for Gaston Leroux’s novel *The Phantom of the Opera* and its adaptations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34b17b88190b3290bd5100ad2ad completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.