Triple

T23337005
Position Surface form Disambiguated ID Type / Status
Subject Giuseppina Strepponi E591618 entity
Predicate notableRole P22 FINISHED
Object Abigaille in Nabucco NE NERFINISHED

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: Abigaille in Nabucco | Statement: [Giuseppina Strepponi, notableRole, Abigaille in Nabucco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abigaille in Nabucco
Context triple: [Giuseppina Strepponi, notableRole, Abigaille in Nabucco]
  • A. Nabucco
    Nabucco is an 1842 Italian opera by Giuseppe Verdi, best known for its powerful chorus "Va, pensiero" and for establishing Verdi’s early fame.
  • B. Amneris in Verdi's "Aida"
    Amneris in Verdi's "Aida" is the proud and passionate Egyptian princess whose jealous love for Radamès drives much of the opera’s dramatic conflict.
  • C. Aída
    Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
  • D. Aída
    Aída is a character in Mario Vargas Llosa’s novel "Conversación en La Catedral," playing a role within its complex portrayal of Peruvian society and political corruption.
  • E. Abigaille chosen
    Abigaille is the ambitious and vengeful soprano heroine of Giuseppe Verdi’s opera "Nabucco," known for her demanding vocal part and dramatic intensity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.