Triple

T20278151
Position Surface form Disambiguated ID Type / Status
Subject Commedia dell’arte E503067 entity
Predicate hasStockCharacter P139519 FINISHED
Object Brighella 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: Brighella | Statement: [Commedia dell’arte, hasStockCharacter, Brighella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brighella
Context triple: [Commedia dell’arte, hasStockCharacter, Brighella]
  • A. Brighella chosen
    Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
  • B. Figaro
    Figaro is a production company known for its work on the cooking and lifestyle television series "The Barefoot Contessa."
  • C. Figaro
    Figaro is the playful black-and-white kitten from Disney’s classic animated films, best known as a companion to characters like Geppetto and Minnie Mouse.
  • D. Figaro
    "Figaro" is a critically acclaimed track by the hip-hop duo Madvillain (MF DOOM and Madlib), known for its intricate wordplay and distinctive production.
  • E. Figaro
    Figaro is the clever, quick-witted barber who serves as the central character in Beaumarchais’s plays and later in Rossini’s opera "The Barber of Seville."
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e59f7c819086638b871ecbbd40 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:35 a.m.