Triple

T8155846
Position Surface form Disambiguated ID Type / Status
Subject Florence Foster Jenkins E190447 entity
Predicate editor P1954 FINISHED
Object Valerio Bonelli E380298 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: Valerio Bonelli | Statement: [Florence Foster Jenkins, editor, Valerio Bonelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerio Bonelli
Context triple: [Florence Foster Jenkins, editor, Valerio Bonelli]
  • A. Valerio Bonelli chosen
    Valerio Bonelli is a film editor known for his work on acclaimed movies such as "Philomena."
  • B. Riccardo Mazzucchelli
    Riccardo Mazzucchelli was an Italian businessman and entrepreneur known for his brief high-profile marriage to socialite and businesswoman Ivana Trump.
  • C. Rossano Rubicondi
    Rossano Rubicondi was an Italian actor, model, and television personality best known internationally for his high-profile marriage to Ivana Trump.
  • D. Rafael Sabatini
    Rafael Sabatini was an Italian-English author best known for his swashbuckling historical adventure novels such as "Scaramouche" and "Captain Blood."
  • E. Giulio Petroni
    Giulio Petroni was an Italian film director best known for his influential work in the Spaghetti Western genre during the 1960s and 1970s.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0f68c88190be9aab03de6bf4a0 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.