Triple

T9500847
Position Surface form Disambiguated ID Type / Status
Subject Serge Lifar E229133 entity
Predicate employer P7 FINISHED
Object Paris Opera E127852 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: Paris Opera | Statement: [Serge Lifar, employer, Paris Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Opera
Context triple: [Serge Lifar, employer, Paris Opera]
  • A. Paris Opera chosen
    The Paris Opera is France’s premier opera and ballet company, renowned for its grand productions and historic venues such as the Palais Garnier and Opéra Bastille.
  • B. Palais Garnier, Paris
    Palais Garnier in Paris is a grand 19th-century opera house renowned for its opulent architecture, lavish interiors, and central role in the city’s cultural life.
  • C. Place des Arts
    Place des Arts is a major performing arts complex in downtown Montreal known for hosting concerts, theater, dance, and large cultural festivals.
  • D. Théâtre du Châtelet, Paris
    Théâtre du Châtelet in Paris is a historic 19th-century theater renowned for hosting major operatic, ballet, and musical premieres and performances.
  • E. Opéra Bastille
    Opéra Bastille is a modern Parisian opera house and major venue of the Opéra National de Paris, known for its contemporary architecture and large-scale productions.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983c308c8190bde6858ac1ca8ea5 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d439c6881909832afcc1154bca8 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:57 p.m.