Triple

T12026655
Position Surface form Disambiguated ID Type / Status
Subject Salem Prize E286294 entity
Predicate hasAwarded P2391 FINISHED
Object Ben Green E286293 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: Ben Green | Statement: [Salem Prize, hasAwarded, Ben Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Green
Context triple: [Salem Prize, hasAwarded, Ben Green]
  • A. Ben Green chosen
    Ben Green is a British mathematician known for his work in additive combinatorics and number theory, including the Green–Tao theorem on arithmetic progressions in the primes.
  • B. Ben Barber
    Ben Barber is a fast-talking, video game–loving high school security guard who becomes an Atlanta police trainee and comic foil to his tough future brother-in-law in the action-comedy film "Ride Along."
  • C. James Maynard
    James Maynard is a British mathematician renowned for his groundbreaking work in analytic number theory, particularly on prime gaps and the distribution of prime numbers.
  • D. Richard Green
    Richard Green was an American boxing referee best known for officiating major heavyweight bouts, including the 1980 title fight between Larry Holmes and Muhammad Ali.
  • E. Michael Reid
    Michael Reid is a personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3cd0648190ac6d5587bd7024a7 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:47 p.m.