Triple

T4804958
Position Surface form Disambiguated ID Type / Status
Subject Anna Netrebko E106924 entity
Predicate notableWork P4 FINISHED
Object Tosca E269215 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: Tosca | Statement: [Anna Netrebko, notableWork, Tosca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tosca
Context triple: [Anna Netrebko, notableWork, Tosca]
  • A. Tosca chosen
    Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
  • B. Il tabarro
    Il tabarro is a one-act verismo opera by Giacomo Puccini, known for its dark, atmospheric portrayal of jealousy and murder among dockworkers on the Seine in Paris.
  • C. Aida
    Aida is a Broadway musical, with music by Elton John and lyrics by Tim Rice, that retells the tragic love story between an enslaved Nubian princess and an Egyptian soldier.
  • D. Gianni Schicchi
    Gianni Schicchi is a one-act comic opera by Giacomo Puccini, best known for its witty plot about inheritance fraud and the famous aria "O mio babbino caro."
  • E. Carmen
    Carmen is a feminine given name of Latin origin, widely used in Spanish-speaking cultures and beyond.
  • 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.