Triple

T15115104
Position Surface form Disambiguated ID Type / Status
Subject Agenore Incrocci E361015 entity
Predicate name P16 FINISHED
Object Agenore Incrocci 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: Agenore Incrocci | Statement: [Agenore Incrocci, name, Agenore Incrocci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agenore Incrocci
Context triple: [Agenore Incrocci, name, Agenore Incrocci]
  • A. Agenore Incrocci chosen
    Agenore Incrocci was an Italian screenwriter, best known as part of the celebrated writing duo Age & Scarpelli, who helped shape classic Italian cinema and comedy.
  • B. Corrado Feroci
    Corrado Feroci was an Italian-born sculptor who became a leading figure in modern Thai art and is best known for his monumental public works in Bangkok.
  • C. Lorenzo Marinelli
    Lorenzo Marinelli is an editor known for his work on the film "The Changeling."
  • D. Giorgio Arlorio
    Giorgio Arlorio was an Italian screenwriter known for his work on politically charged and genre films, including notable collaborations in 1960s and 1970s Italian cinema.
  • E. Marcello Masciocchi
    Marcello Masciocchi was an Italian cinematographer known for his work on numerous mid-20th-century films.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
Created at: April 10, 2026, 3:05 a.m.