Triple

T6044474
Position Surface form Disambiguated ID Type / Status
Subject Carlos Kleiber E134630 entity
Predicate workedAt P7 FINISHED
Object Stuttgart Opera E193561 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: Stuttgart Opera | Statement: [Carlos Kleiber, workedAt, Stuttgart Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuttgart Opera
Context triple: [Carlos Kleiber, workedAt, Stuttgart Opera]
  • A. Staatsoper Stuttgart chosen
    Staatsoper Stuttgart is a renowned German opera company and historic opera house in Stuttgart, celebrated for its innovative productions and high artistic standards.
  • B. Bavarian State Opera
    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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d01aa208190a9c630780f5b9851 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:09 p.m.