Triple

T11818992
Position Surface form Disambiguated ID Type / Status
Subject Rocco E281075 entity
Predicate appearsIn P795 FINISHED
Object Fidelio E57006 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: Fidelio | Statement: [Rocco, appearsIn, Fidelio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fidelio
Context triple: [Rocco, appearsIn, Fidelio]
  • A. Fidelio, Op. 72 chosen
    Fidelio, Op. 72 is Ludwig van Beethoven’s only opera, a German-language work celebrated for its themes of personal sacrifice, heroism, and the triumph of justice and freedom.
  • B. Leonore
    Leonore is a given name, typically considered a variant of Eleanor, used for girls in various European languages.
  • C. Leonore overtures
    The Leonore overtures are a group of four concert overtures composed by Ludwig van Beethoven for his only opera, Fidelio, reflecting his evolving approach to the work’s dramatic themes.
  • D. Un grand amour de Beethoven
    Un grand amour de Beethoven is a 1936 French biographical drama film that portrays the life and romantic passions of composer Ludwig van Beethoven.
  • E. La forza del destino
    La forza del destino is a grand opera by Giuseppe Verdi, renowned for its dramatic intensity, complex characters, and powerful orchestration.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b7cc0808190875d36fe978e4326 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:42 p.m.