Triple

T12357788
Position Surface form Disambiguated ID Type / Status
Subject Analyze That E294654 entity
Predicate mainCharacter P1183 FINISHED
Object Paul Vitti E387986 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: Paul Vitti | Statement: [Analyze That, mainCharacter, Paul Vitti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Vitti
Context triple: [Analyze That, mainCharacter, Paul Vitti]
  • A. Paul Vitti chosen
    Paul Vitti is a fictional New York mob boss portrayed by Robert De Niro in the comedy film "Analyze This."
  • B. Rossano Brazzi
    Rossano Brazzi was an Italian actor best known internationally for his romantic leading roles in mid-20th-century films such as "South Pacific" and "Summertime."
  • C. Francesco Lollobrigida
    Francesco Lollobrigida is an Italian politician and prominent member of the right-wing party Fratelli d'Italia, closely associated with Prime Minister Giorgia Meloni.
  • D. Amedeo Nazzari
    Amedeo Nazzari was a prominent Italian film actor, especially popular from the 1930s to the 1950s, known for his leading-man roles in dramas and war films.
  • E. Gabriele Ferzetti
    Gabriele Ferzetti was an Italian film and stage actor known for his prolific career in European cinema, including prominent roles in classics like "L'Avventura" and the James Bond film "On Her Majesty's Secret Service."
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8e64dc81908c2242c68cd1b86e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab771448190b7f76e424ec0b4b5 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.