Triple

T11961880
Position Surface form Disambiguated ID Type / Status
Subject Johann Radon E284687 entity
Predicate name P16 FINISHED
Object Johann Radon E284687 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: Johann Radon | Statement: [Johann Radon, name, Johann Radon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johann Radon
Context triple: [Johann Radon, name, Johann Radon]
  • A. Johann Radon chosen
    Johann Radon was an Austrian mathematician best known for his foundational work in measure theory and integral transforms, including the Radon transform and contributions leading to the Radon–Nikodym theorem.
  • B. Wilhelm Wirtinger
    Wilhelm Wirtinger was an Austrian mathematician known for his contributions to complex analysis, algebraic geometry, and knot theory.
  • C. Heinz Weber
    Heinz Weber is a German former professional football goalkeeper known for his career in the Bundesliga and other European leagues.
  • D. Franz Rademacher
    Franz Rademacher was a Nazi German diplomat and lawyer who headed the Jewish Affairs desk in the Foreign Office and played a key role in planning and implementing anti-Jewish policies, including deportations and genocide.
  • E. Franz Hilbert
    Franz Hilbert was the son of the influential German mathematician David Hilbert.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.