Triple

T1207617
Position Surface form Disambiguated ID Type / Status
Subject Gladiator E25924 entity
Predicate screenwriter P2831 FINISHED
Object David Franzoni E205406 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: David Franzoni | Statement: [Gladiator, screenwriter, David Franzoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Franzoni
Context triple: [Gladiator, screenwriter, David Franzoni]
  • A. David Franzoni chosen
    David Franzoni is an American screenwriter and film producer best known for his work on the Academy Award–winning historical epic "Gladiator."
  • B. Robert Frasca
    Robert Frasca was an American architect known for his influential urban and civic designs, particularly in the Pacific Northwest.
  • C. Fran Fraschilla
    Fran Fraschilla is an American basketball coach and ESPN analyst best known for his successful college coaching stints and his expertise on international basketball.
  • D. Dan Iassogna
    Dan Iassogna is a veteran Major League Baseball umpire who has officiated numerous postseason games, including serving as crew chief in the World Series.
  • E. Chris Brancato
    Chris Brancato is an American television writer and producer best known for his work on crime dramas, including co-creating the acclaimed Netflix series "Narcos."
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69add1a06d7c8190b6c38ff6d18a4542 completed March 8, 2026, 7:44 p.m.
Created at: March 1, 2026, 7:46 p.m.