Triple

T1217021
Position Surface form Disambiguated ID Type / Status
Subject John David Stier E26128 entity
Predicate father P120 FINISHED
Object John Forbes 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 Forbes Nash Jr. | Statement: [John David Stier, father, John Forbes Nash Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Forbes Nash Jr.
Context triple: [John David Stier, father, John Forbes Nash Jr.]
  • A. John Nash
    John Nash was a prominent 19th-century British architect best known for reshaping central London with landmark works in the Regency style.
  • B. 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.
  • C. 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.
  • D. Albert W. Tucker
    Albert W. Tucker was a Canadian-born American mathematician best known for his influential work in game theory and topology, including formulating the Prisoner’s Dilemma and mentoring John Nash.
  • E. William Karush
    William Karush was an American mathematician best known for his early formulation of the Karush–Kuhn–Tucker conditions, a cornerstone of nonlinear optimization theory.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be06d6308190a44c505e6b5e8d42 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831fb6bc8190907f36e52489ec5c completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:46 p.m.