Triple

T7022385
Position Surface form Disambiguated ID Type / Status
Subject Superman: The Movie E162858 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: [Superman: The Movie, screenwriter, Mario Puzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Puzo
Context triple: [Superman: The Movie, 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1edf3608190b7ba0bfb85710e97 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757c87788190b09ced669b5c4d83 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.