Triple

T14805688
Position Surface form Disambiguated ID Type / Status
Subject Linha de Passe E348028 entity
Predicate screenwriter P2831 FINISHED
Object Bráulio Mantovani E819409 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: Bráulio Mantovani | Statement: [Linha de Passe, screenwriter, Bráulio Mantovani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bráulio Mantovani
Context triple: [Linha de Passe, screenwriter, Bráulio Mantovani]
  • A. Bráulio Mantovani chosen
    Bráulio Mantovani is a Brazilian screenwriter best known for his acclaimed work on the film "City of God" and other prominent Brazilian cinema projects.
  • B. Manolo Bolognini
    Manolo Bolognini was an Italian film producer known for his work on notable Spaghetti Westerns and other European genre films of the 1960s and 1970s.
  • C. Claudio Santamaria
    Claudio Santamaria is an Italian actor known for his versatile film and television roles, including prominent performances in acclaimed Italian crime dramas and comedies.
  • D. Hector Muffat
    Hector Muffat is a fictional character in Émile Zola’s novel "Nana," depicted as the son of the aristocratic Count Muffat.
  • E. Francisco Tamburini
    Francisco Tamburini was an Italian-Argentine architect renowned for designing some of Buenos Aires’ most iconic late 19th-century public buildings.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a4f71881909c3c1cc09fe89a60 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:34 a.m.