Triple

T12775776
Position Surface form Disambiguated ID Type / Status
Subject Ford v Ferrari E305367 entity
Predicate screenwriter P2831 FINISHED
Object Jason Keller E305367 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: Jason Keller | Statement: [Ford v Ferrari, screenwriter, Jason Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Keller
Context triple: [Ford v Ferrari, screenwriter, Jason Keller]
  • A. Jason Keller chosen
    Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
  • B. Keith Keller
    Keith Keller is a film industry figure best known as a co-founder of the Seattle International Film Festival, one of the largest and most respected film festivals in the United States.
  • C. Nick Kelson
    Nick Kelson is the protagonist of the film "American Heart," around whom the story’s emotional and dramatic arc revolves.
  • D. Jason Kehler
    Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
  • E. Kasey Keller
    Kasey Keller is a former American goalkeeper known for his long professional career in Europe and Major League Soccer, as well as his key role with the United States national team in multiple World Cups.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df6b3c88190b0bbe70de8ddcbf3 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75467a1a081908395b48615e3ea9b completed May 3, 2026, 1:57 p.m.
Created at: April 9, 2026, 5:29 p.m.