Triple

T4552539
Position Surface form Disambiguated ID Type / Status
Subject Gábor Szegő E120398 entity
Predicate familyName P18 FINISHED
Object Szegő
Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
 E451535 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: Szegő | Statement: [Gábor Szegő, familyName, Szegő]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Szegő
Context triple: [Gábor Szegő, familyName, Szegő]
  • A. Szekeres
    Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Takács
    Takács is a Hungarian surname borne by numerous notable individuals across fields such as sports, music, and academia.
  • D. 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.
  • E. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • 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: Szegő
Triple: [Gábor Szegő, familyName, Szegő]
Generated description
Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Szegő
Target entity description: Szegő is a Hungarian surname most notably associated with mathematician Gábor Szegő, known for his contributions to analysis and orthogonal polynomials.
  • A. Szekeres
    Szekeres is a Hungarian surname most notably associated with mathematician George Szekeres, known for his contributions to combinatorics and number theory.
  • B. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • C. Takács
    Takács is a Hungarian surname borne by numerous notable individuals across fields such as sports, music, and academia.
  • D. 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.
  • E. Sándor
    Sándor is a Hungarian given name, traditionally used as the local form of Alexander.
  • 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_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_69bdb95b01b0819094a600752e41aa09 completed March 20, 2026, 9:17 p.m.
NEDg Description generation batch_69bdbdbf73508190b64a78ff9274ee6d completed March 20, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69bdbe1bcd8c819094adea59c91c6f5b completed March 20, 2026, 9:37 p.m.
Created at: March 20, 2026, 1:09 p.m.