Triple

T2415196
Position Surface form Disambiguated ID Type / Status
Subject Last Tango in Paris E52285 entity
Predicate editedBy P1954 FINISHED
Object Franco Arcalli E385019 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 Arcalli | Statement: [Last Tango in Paris, editedBy, Franco Arcalli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franco Arcalli
Context triple: [Last Tango in Paris, editedBy, Franco Arcalli]
  • A. Franco Arcalli chosen
    Franco Arcalli was an Italian film editor and screenwriter known for his innovative work on influential European art films of the 1960s and 1970s.
  • B. Guido Quaroni
    Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
  • C. Ugo Cavallero
    Ugo Cavallero was an Italian general who served as Chief of the General Staff and a leading military commander for Italy during the early years of World War II.
  • D. Ettore de Rossi
    Ettore de Rossi was an Italian general who commanded forces of the Italian Army in Russia (ARMIR) during World War II.
  • E. Enrico Barra
    Enrico Barra is an individual notable for bearing the surname Barra, though specific widely recognized biographical details about him are not well documented.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94bd7ec81909f5b4a16a406165b completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4c13494819095821f44916329c9 completed March 14, 2026, 4:32 a.m.
Created at: March 6, 2026, 9:41 p.m.