Triple

T19357923
Position Surface form Disambiguated ID Type / Status
Subject Christoph von Dohnányi E484197 entity
Predicate employer P7 FINISHED
Object Frankfurt 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: Frankfurt Opera | Statement: [Christoph von Dohnányi, employer, Frankfurt Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfurt Opera
Context triple: [Christoph von Dohnányi, employer, Frankfurt Opera]
  • A. Frankfurt Opera House chosen
    The Frankfurt Opera House is a renowned performing arts venue in Frankfurt, Germany, celebrated for its world-class opera and classical music productions.
  • B. Berlin State Opera
    The Berlin State Opera is one of Germany’s leading opera houses, renowned for its historic venue, world-class productions, and prominent role in Berlin’s cultural life.
  • C. Opernhaus
    Opernhaus is an underground rapid transit station on the Nuremberg U-Bahn network in Nuremberg, Germany.
  • D. Hamburg State Opera
    Hamburg State Opera is a major German opera company and historic cultural institution in Hamburg, renowned for its world-class productions and leading international artists.
  • E. Opernhaus am Brühl
    Opernhaus am Brühl was a historic early opera house in Leipzig, Germany, recognized as one of the earliest public opera venues in central Europe.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190a1ec88190ba6d2d45174dc85a completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.