Triple

T4552578
Position Surface form Disambiguated ID Type / Status
Subject Gábor Szegő E120398 entity
Predicate influencedBy P9 FINISHED
Object Lipót Fejér E453128 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: Lipót Fejér | Statement: [Gábor Szegő, influencedBy, Lipót Fejér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipót Fejér
Context triple: [Gábor Szegő, influencedBy, Lipót Fejér]
  • A. Lipót Fejér chosen
    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.
  • B. Gábor Szegő
    Gábor Szegő was a Hungarian-American mathematician renowned for his contributions to analysis, particularly in the theory of orthogonal polynomials and Toeplitz matrices.
  • C. Frigyes Riesz
    Frigyes Riesz was a Hungarian mathematician renowned for his foundational contributions to functional analysis and measure theory.
  • D. Pál Turán
    Pál Turán was a Hungarian mathematician renowned for his influential work in number theory and combinatorics, including the development of Turán's theorem in extremal graph theory.
  • E. Imre Lipschitz
    Imre Lipschitz, better known as Imre Lakatos, was a Hungarian-born philosopher of mathematics and science renowned for his work on the methodology of scientific research programmes.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd581160e08190b715a8ce5c3e6c9b completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3968b4c819082314a0dd9fb4202 completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.