Triple

T3550023
Position Surface form Disambiguated ID Type / Status
Subject Buckingham House E75087 entity
Predicate enlargedBy P5633 FINISHED
Object John Nash E69478 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 Nash | Statement: [Buckingham House, enlargedBy, John Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Nash
Context triple: [Buckingham House, enlargedBy, John Nash]
  • A. John Nash chosen
    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
    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. Herbert Scarf
    Herbert Scarf was an influential American economist and mathematician known for his work on general equilibrium theory, fixed-point theorems, and integer programming.
  • E. Robert C. Merton
    Robert C. Merton is an American economist and Nobel laureate renowned for his pioneering work in financial economics and the mathematical modeling of derivatives.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be9335c81909ba546a079134c8f completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.