Triple

T11775867
Position Surface form Disambiguated ID Type / Status
Subject WoO 96 (earlier Leonore version) E280016 entity
Predicate notableCharacter P1481 FINISHED
Object Jaquino E280014 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: Jaquino | Statement: [WoO 96 (earlier Leonore version), notableCharacter, Jaquino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaquino
Context triple: [WoO 96 (earlier Leonore version), notableCharacter, Jaquino]
  • A. Jaquino chosen
    Jaquino is a supporting character in Beethoven’s opera "Fidelio," typically portrayed as the young jailer in love with Marzelline.
  • B. Felicio
    Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • C. Jaimito
    Jaimito is the Spanish diminutive form of the given name Jaime, commonly used as an affectionate nickname.
  • D. Crispino
    Crispino is an Italian given name and surname, derived from the Latin name Crispinus.
  • E. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • 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_69f280e9e20081909ccb09a2144a68b4 completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:42 p.m.