Triple

T18542274
Position Surface form Disambiguated ID Type / Status
Subject Lipót Fejér E453128 entity
Predicate student P7251 FINISHED
Object Frigyes Riesz NE NERFINISHED

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: [Lipót Fejér, student, Frigyes Riesz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frigyes Riesz
Context triple: [Lipót Fejér, student, Frigyes Riesz]
  • A. Frigyes Riesz chosen
    Frigyes Riesz was a Hungarian mathematician renowned for his foundational contributions to functional analysis and measure theory.
  • B. Otto Toeplitz
    Otto Toeplitz was a German mathematician known for his influential work in functional analysis and operator theory, particularly in the study of infinite matrices and what are now called Toeplitz operators.
  • C. 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.
  • D. Béla Szőkefalvi-Nagy
    Béla Szőkefalvi-Nagy was a Hungarian mathematician renowned for his contributions to functional analysis and operator theory.
  • E. Salomon Bochner
    Salomon Bochner was a prominent 20th-century mathematician known for his influential work in analysis, probability theory, and differential geometry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b80fc081908488417787d1b166 completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.