Triple

T6183897
Position Surface form Disambiguated ID Type / Status
Subject The Barefoot Contessa E138008 entity
Predicate productionCompany P490 FINISHED
Object Figaro E574249 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: Figaro | Statement: [The Barefoot Contessa, productionCompany, Figaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Figaro
Context triple: [The Barefoot Contessa, productionCompany, Figaro]
  • A. Figaro chosen
    Figaro is a production company known for its work on the cooking and lifestyle television series "The Barefoot Contessa."
  • B. 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."
  • C. Brighella
    Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
  • D. René de Travière
    René de Travière is a fictional character from the swashbuckling adventure film "The Purple Mask," set in post-Napoleonic France.
  • E. Grumio
    Grumio is a comic servant character in William Shakespeare's play "The Taming of the Shrew," known for his humorous misunderstandings and interactions with his master Petruchio.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ef823348190a8ed68141857e28c completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:19 p.m.