Triple

T4804929
Position Surface form Disambiguated ID Type / Status
Subject Anna Netrebko E106924 entity
Predicate name P16 FINISHED
Object Anna Netrebko E106924 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: Anna Netrebko | Statement: [Anna Netrebko, name, Anna Netrebko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Netrebko
Context triple: [Anna Netrebko, name, Anna Netrebko]
  • A. Anna Netrebko chosen
    Anna Netrebko is a renowned Russian operatic soprano celebrated internationally for her powerful voice, dramatic stage presence, and leading roles in major opera houses.
  • B. Angela Gheorghiu
    Angela Gheorghiu is a renowned Romanian soprano celebrated for her powerful voice and dramatic interpretations on the world’s leading opera stages.
  • C. Galina Vishnevskaya
    Galina Vishnevskaya was a renowned Russian soprano and opera star, celebrated especially for her performances at the Bolshoi Theatre and her interpretations of Russian repertoire.
  • D. Renée Fleming
    Renée Fleming is an acclaimed American soprano renowned for her performances in opera and concert halls worldwide and for her interpretations of lyric soprano roles.
  • E. Renata Tebaldi
    Renata Tebaldi was a renowned Italian soprano celebrated for her rich, lyrical voice and leading roles in major opera houses worldwide during the mid-20th century.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c664c3c81908e4d9a7c8c19744b completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4403ef888190b41c9a0db6bf47aa completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.