Triple

T23054895
Position Surface form Disambiguated ID Type / Status
Subject Gianfranco Clerici E574128 entity
Predicate notableWork P4 FINISHED
Object The Big Racket 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: The Big Racket | Statement: [Gianfranco Clerici, notableWork, The Big Racket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Racket
Context triple: [Gianfranco Clerici, notableWork, The Big Racket]
  • A. The Big Racket chosen
    The Big Racket is a 1976 Italian crime-action film directed by Enzo G. Castellari, known for its gritty depiction of vigilante justice against a violent extortion gang.
  • B. The Racketeer
    The Racketeer is a legal thriller novel by John Grisham that follows a wrongfully imprisoned lawyer who leverages inside knowledge of a federal judge’s murder to bargain for his freedom and revenge.
  • C. The Big Combo
    The Big Combo is a 1955 American film noir crime drama renowned for its stark cinematography, brutal violence, and tense portrayal of police corruption and organized crime.
  • D. The Racket
    The Racket is a 1927 Broadway crime play by Bartlett Cormack that exposed police corruption and was later adapted into a notable film noir.
  • E. The Big Gamble
    The Big Gamble is a 1961 adventure-comedy film about two men undertaking a perilous trucking venture in Africa.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867f71508190ad4513c6de2453e6 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.