Triple

T13500380
Position Surface form Disambiguated ID Type / Status
Subject John von Neumann E320872 entity
Predicate hasSurname P18 FINISHED
Object Neumann E320872 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: Neumann | Statement: [John von Neumann, hasSurname, Neumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neumann
Context triple: [John von Neumann, hasSurname, Neumann]
  • A. Neumann chosen
    Neumann is a variant spelling of the surname Newman, commonly of German origin and borne by various notable figures in science, mathematics, and the arts.
  • B. Neubauer
    Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Franz Xaver von Neumann-Spallart
    Franz Xaver von Neumann-Spallart was an Austrian statistician and economist of the 19th century known for his contributions to political economy and statistical science.
  • E. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75487cb3c8190ab7f3bc36755b74c completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.