Triple

T15833856
Position Surface form Disambiguated ID Type / Status
Subject Adam Neumann E383936 entity
Predicate familyName 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: [Adam Neumann, familyName, Neumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neumann
Context triple: [Adam Neumann, familyName, 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. Naumann
    Naumann is a German surname most notably associated with Friedrich Naumann, a liberal theologian and politician influential in early 20th-century German social and political thought.
  • C. Neubauer
    Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
  • D. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • E. 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.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e6670d48190a456581dd951f168 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.