Triple

T4285076
Position Surface form Disambiguated ID Type / Status
Subject Fiat CR.32 E97247 entity
Predicate designer P184 FINISHED
Object Celestino Rosatelli E166464 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: Celestino Rosatelli | Statement: [Fiat CR.32, designer, Celestino Rosatelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celestino Rosatelli
Context triple: [Fiat CR.32, designer, Celestino Rosatelli]
  • A. Celestino Rosatelli chosen
    Celestino Rosatelli was an Italian aeronautical engineer best known for designing several successful Fiat military aircraft in the interwar period and World War II.
  • B. Carlo Ventresca
    Carlo Ventresca is a central character in Dan Brown's novel "Angels & Demons," serving as the Vatican's Camerlengo whose actions drive much of the book's religious and political intrigue.
  • C. Arturo Giovannitti
    Arturo Giovannitti was an Italian-American poet, labor leader, and prominent organizer in the early 20th-century U.S. labor movement.
  • D. Luigi Barra
    Luigi Barra is an individual recognized for being a notable bearer of the Italian surname Barra.
  • E. Salvatore Polito
    Salvatore Polito, better known as Sol Polito, was an Italian-American cinematographer renowned for his work on classic Hollywood films and multiple Academy Award nominations.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505bff588190919a4ef547f607c2 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d60ae3c8190aea53073a37d0c07 completed March 21, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:07 p.m.