Triple

T12797554
Position Surface form Disambiguated ID Type / Status
Subject Functional analysis E305927 entity
Predicate hasHistoricalFigure P643 FINISHED
Object Frigyes Riesz E204639 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: Frigyes Riesz | Statement: [Functional analysis, hasHistoricalFigure, Frigyes Riesz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frigyes Riesz
Context triple: [Functional analysis, hasHistoricalFigure, Frigyes Riesz]
  • A. Frigyes Riesz chosen
    Frigyes Riesz was a Hungarian mathematician renowned for his foundational contributions to functional analysis and measure theory.
  • B. Lipót Fejér
    Lipót Fejér was a Hungarian mathematician renowned for his fundamental contributions to harmonic analysis and Fourier series, and for mentoring a generation of influential mathematicians.
  • C. Béla Szőkefalvi-Nagy
    Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
  • D. Salomon Bochner
    Salomon Bochner was a prominent 20th-century mathematician known for his influential work in analysis, probability theory, and differential geometry.
  • E. Ernst Hellinger
    Ernst Hellinger was a German mathematician known for his contributions to functional analysis and measure theory, including work that led to the concept now called the Hellinger distance.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec0d5dc819099a8036c6cbac634 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:30 p.m.