Triple

T2172941
Position Surface form Disambiguated ID Type / Status
Subject The Godfather E48464 entity
Predicate basedOnAuthor P2806 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 Godfather, basedOnAuthor, Mario Puzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Puzo
Context triple: [The Godfather, basedOnAuthor, 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. William Goldman
    William Goldman was an acclaimed American novelist and screenwriter known for works such as "Butch Cassidy and the Sundance Kid" and "The Princess Bride."
  • C. Robert Riskin
    Robert Riskin was an American screenwriter best known for his collaborations with director Frank Capra on classic films of the 1930s and 1940s.
  • D. Joseph Kesselring
    Joseph Kesselring was an American playwright best known for writing the dark comedic stage play "Arsenic and Old Lace," which became a classic of 20th-century theater.
  • E. Tom Fleming
    Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9c61448190930777bcf2028882 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.