Triple

T14588244
Position Surface form Disambiguated ID Type / Status
Subject For a Few Dollars More E342373 entity
Predicate cinematographer P1953 FINISHED
Object Massimo Dallamano 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: Massimo Dallamano | Statement: [For a Few Dollars More, cinematographer, Massimo Dallamano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massimo Dallamano
Context triple: [For a Few Dollars More, cinematographer, Massimo Dallamano]
  • A. Massimo Dallamano chosen
    Massimo Dallamano was an Italian cinematographer and film director best known for his work on Spaghetti Westerns and giallo films in the 1960s and 1970s.
  • B. Massimo Vanni
    Massimo Vanni is an Italian actor and stuntman known for his roles in spaghetti westerns and action films, particularly in collaborations with director Enzo G. Castellari.
  • C. Massimo De Rita
    Massimo De Rita is an Italian screenwriter known for his work on crime and drama films, including the 1974 film "Street Law."
  • D. Massimo Marcovaldo
    Massimo Marcovaldo is a gruff but kindhearted Italian fisherman and sea monster hunter who serves as a father figure in Pixar's animated film "Luca."
  • E. Massimo Bonetti
    Massimo Bonetti is an Italian actor known for his work in film and television, particularly in Italian drama and crime productions.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
Created at: April 10, 2026, 1:24 a.m.