Triple

T16402760
Position Surface form Disambiguated ID Type / Status
Subject Classics in Game Theory E398340 entity
Predicate hasContributor P4244 FINISHED
Object John F. Nash Jr. E325 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: John F. Nash Jr. | Statement: [Classics in Game Theory, hasContributor, John F. Nash Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John F. Nash Jr.
Context triple: [Classics in Game Theory, hasContributor, John F. Nash Jr.]
  • A. John Nash chosen
    John Nash was an American mathematician renowned for his groundbreaking work in game theory, differential geometry, and partial differential equations, which profoundly influenced economics and the mathematical sciences.
  • B. John Nash
    John Nash was a prominent 19th-century British architect best known for reshaping central London with landmark works in the Regency style.
  • C. Ervin David Shaw
    Ervin David Shaw was a U.S. Army Air Service pilot and World War I aviator in whose honor Shaw Air Force Base in South Carolina is named.
  • D. John Harsanyi
    John Harsanyi was a Hungarian-American economist and Nobel laureate renowned for his foundational contributions to game theory and welfare economics, particularly his work on modeling rational behavior and social choice under uncertainty.
  • E. Harold W. Kuhn
    Harold W. Kuhn was an American mathematician and game theorist best known for his work on nonlinear programming and the Kuhn–Tucker conditions.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d0652081908f42f78b156f3ae7 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6094e481909aa7402fd17fedae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.