Triple

T8640738
Position Surface form Disambiguated ID Type / Status
Subject Frigyes Riesz E204639 entity
Predicate familyName P18 FINISHED
Object Riesz
Riesz is a Hungarian surname most notably associated with the influential mathematician Frigyes Riesz, a pioneer in functional analysis.
E746576 NE FINISHED

How this triple was built (4 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: Riesz | Statement: [Frigyes Riesz, familyName, Riesz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riesz
Context triple: [Frigyes Riesz, familyName, Riesz]
  • A. Szegő
    Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
  • B. Neumann
    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.
  • C. Carleson
    Carleson is a surname of likely Scandinavian origin, most notably associated with Swedish mathematician Lennart Carleson, renowned for his fundamental contributions to harmonic analysis.
  • D. Wirtinger
    Wirtinger is a surname most notably associated with Austrian mathematician Wilhelm Wirtinger, known for his contributions to complex analysis and knot theory.
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Riesz
Triple: [Frigyes Riesz, familyName, Riesz]
Generated description
Riesz is a Hungarian surname most notably associated with the influential mathematician Frigyes Riesz, a pioneer in functional analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Riesz
Target entity description: Riesz is a Hungarian surname most notably associated with the influential mathematician Frigyes Riesz, a pioneer in functional analysis.
  • A. Szegő
    Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
  • B. Neumann
    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.
  • C. Carleson
    Carleson is a surname of likely Scandinavian origin, most notably associated with Swedish mathematician Lennart Carleson, renowned for his fundamental contributions to harmonic analysis.
  • D. Wirtinger
    Wirtinger is a surname most notably associated with Austrian mathematician Wilhelm Wirtinger, known for his contributions to complex analysis and knot theory.
  • E. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • F. None of above. chosen

Provenance (5 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47944d1c819081f448f14d04bf9d completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc340528819085c80b69d6d32a34 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebcdb197881908eeb6c5e4b225a2c completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebd85ad8481909518afd02dbc5358 completed April 2, 2026, 7:03 p.m.
Created at: March 30, 2026, 6:28 p.m.