Triple

T12959168
Position Surface form Disambiguated ID Type / Status
Subject Violanta E310091 entity
Predicate mainCharacter P1183 FINISHED
Object Violanta E310091 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: Violanta | Statement: [Violanta, mainCharacter, Violanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Violanta
Context triple: [Violanta, mainCharacter, Violanta]
  • A. Violanta chosen
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • B. Raimonda
    Raimonda is a feminine given name, commonly used as the female form of Raymond in various European languages.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Juditha
    Juditha is the given name of Johanna Juditha Bach, a member of the extended Bach family associated with the lineage of the famous composer Johann Sebastian Bach.
  • E. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e006cc819091e5f4b044cadea4 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:44 p.m.