Triple

T10338610
Position Surface form Disambiguated ID Type / Status
Subject Kay Adams E243070 entity
Predicate createdBy P806 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: [Kay Adams, createdBy, Mario Puzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Puzo
Context triple: [Kay Adams, createdBy, 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. Donald Camillieri
    Donald Camillieri is known as the former husband of American actress Kathy Baker.
  • C. 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.
  • D. 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."
  • E. 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.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a470948190959f298dd6110bf3 completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb69410c81909b33e44a04ab77d9 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:54 a.m.