Triple

T21543144
Position Surface form Disambiguated ID Type / Status
Subject Cat o' Nine Tails E531544 entity
Predicate editedBy P1954 FINISHED
Object Franco Fraticelli E503918 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: Franco Fraticelli | Statement: [Cat o' Nine Tails, editedBy, Franco Fraticelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franco Fraticelli
Context triple: [Cat o' Nine Tails, editedBy, Franco Fraticelli]
  • A. Franco Fraticelli chosen
    Franco Fraticelli was an Italian film editor best known for his long-standing collaboration with director Dario Argento on numerous influential horror and giallo films.
  • B. Michele Farinola
    Michele Farinola is a film producer known for her work on the acclaimed music documentary "Linda Ronstadt: The Sound of My Voice."
  • C. Ettore Fagiuoli
    Ettore Fagiuoli was an Italian architect known for his early 20th-century stadium and civic building designs.
  • D. Francesco Satolli
    Francesco Satolli was an Italian cardinal and theologian who became the first Apostolic Delegate to the United States and a prominent advisor on Catholic education and doctrine in the late 19th century.
  • E. Filippo Nigro
    Filippo Nigro is an Italian actor known for his work in contemporary Italian cinema and television, often appearing in crime dramas and socially themed films.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58c34808190b0eb54ba01e2cc13 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eedb88508190b4ee4f3bbf1d48e1 completed May 17, 2026, 4:37 p.m.
Created at: April 16, 2026, 6:28 p.m.