Triple

T17696908
Position Surface form Disambiguated ID Type / Status
Subject Pauline de Ahna E441193 entity
Predicate memberOf P10 FINISHED
Object Munich Court Opera 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: Munich Court Opera | Statement: [Pauline de Ahna, memberOf, Munich Court Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munich Court Opera
Context triple: [Pauline de Ahna, memberOf, Munich Court Opera]
  • A. Bavarian State Opera chosen
    The Bavarian State Opera is one of Germany’s leading opera companies, renowned for its world-class productions and historic home at Munich’s National Theatre.
  • B. Leipzig Opera
    Leipzig Opera is one of Germany’s oldest opera houses, renowned for its rich musical tradition and historic role in the development of European opera.
  • C. Neuköllner Oper
    Neuköllner Oper is an independent Berlin theater known for its experimental, contemporary music theater and opera productions outside the traditional opera canon.
  • D. Residenztheater, Munich
    Residenztheater, Munich is a prominent state theater in Munich, Germany, renowned for its classical and modern drama productions.
  • E. Imperial Opera
    Imperial Opera was the principal state-run opera company of the Russian Empire, renowned for staging grand operatic productions under the auspices of the Russian Imperial Theatres.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.