Triple

T11775721
Position Surface form Disambiguated ID Type / Status
Subject Pizarro E280012 entity
Predicate librettistOfWork P59320 FINISHED
Object Stephan von Breuning E332328 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: Stephan von Breuning | Statement: [Pizarro, librettistOfWork, Stephan von Breuning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephan von Breuning
Context triple: [Pizarro, librettistOfWork, Stephan von Breuning]
  • A. Stephan von Breuning chosen
    Stephan von Breuning was a close friend of Ludwig van Beethoven and an Austrian civil servant and writer who contributed to the early libretto of the opera that became Fidelio.
  • B. Christoph Dolle
    Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
  • C. Max Sollmann
    Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
  • D. Matthias Koenigswieser
    Matthias Koenigswieser is a cinematographer known for his work on feature films such as the live-action Disney movie "Christopher Robin."
  • E. Christian Ditter
    Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55f415081908eec78cb2c956598 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:42 p.m.