Triple

T14519868
Position Surface form Disambiguated ID Type / Status
Subject A Fistful of Dollars E340622 entity
Predicate editor P1954 FINISHED
Object Roberto Cinquini 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: Roberto Cinquini | Statement: [A Fistful of Dollars, editor, Roberto Cinquini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Cinquini
Context triple: [A Fistful of Dollars, editor, Roberto Cinquini]
  • A. Roberto Cinquini chosen
    Roberto Cinquini is a film editor known for his work on various Italian and international film and television productions.
  • B. Enrico Mazzanti
    Enrico Mazzanti was an Italian illustrator and engineer best known for creating the original illustrations for Carlo Collodi’s classic children’s novel "The Adventures of Pinocchio."
  • C. Tebaldo Checchi
    Tebaldo Checchi was an Italian actor best known as the husband of renowned stage actress Eleonora Duse.
  • D. Alfio Contini
    Alfio Contini was an Italian cinematographer known for his work on notable films of the 1960s and 1970s, collaborating with prominent directors and contributing a distinctive visual style to European cinema.
  • E. Enrico Colantoni
    Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 1:22 a.m.