Triple

T6271120
Position Surface form Disambiguated ID Type / Status
Subject The Cotton Club E140536 entity
Predicate screenwriter P2831 FINISHED
Object Mario Puzo E94743 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: Mario Puzo | Statement: [The Cotton Club, screenwriter, Mario Puzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Puzo
Context triple: [The Cotton Club, screenwriter, Mario Puzo]
  • A. Mario Puzo chosen
    Mario Puzo was an American author and screenwriter best known for writing the novel "The Godfather" and co-writing its acclaimed film adaptations.
  • B. Mario Delpini
    Mario Delpini is an Italian Roman Catholic prelate who serves as the Archbishop of Milan, one of the most prominent dioceses in the Catholic Church.
  • C. Walter Tevis
    Walter Tevis was an American novelist best known for his psychologically rich stories of outsiders and games, including the novels that inspired "The Hustler," "The Color of Money," and "The Queen’s Gambit."
  • D. Tom Hagen
    Tom Hagen is a fictional consigliere and adopted son of the Corleone family in Mario Puzo's "The Godfather," known for his calm, strategic legal counsel within the Mafia world.
  • E. George Russo
    George Russo is an actor known for his role in the film "The Time of Angels."
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.