Triple

T910950
Position Surface form Disambiguated ID Type / Status
Subject Rufus Oldenburger Medal E19655 entity
Predicate hasNotableRecipient P108 FINISHED
Object Gábor J. Székely
Gábor J. Székely is a Hungarian-American mathematician and statistician known for his contributions to probability theory and statistics, including work on distance correlation.
 E107898 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: Gábor J. Székely | Statement: [Rufus Oldenburger Medal, hasNotableRecipient, Gábor J. Székely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gábor J. Székely
Context triple: [Rufus Oldenburger Medal, hasNotableRecipient, Gábor J. Székely]
  • A. Steven F. Udvar-Házy
    Steven F. Udvar-Házy is a Hungarian-American aircraft leasing pioneer and billionaire businessman known for co-founding International Lease Finance Corporation and for his major philanthropic support of aviation museums.
  • B. Rudolf E. Kálmán
    Rudolf E. Kálmán was a pioneering Hungarian-American electrical engineer and mathematician best known for developing the Kalman filter, a fundamental algorithm in control theory and signal processing.
  • C. Alfréd Rényi
    Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
  • D. Mark Kac
    Mark Kac was a Polish-American mathematician renowned for his work in probability theory and mathematical physics, particularly for linking stochastic processes with partial differential equations.
  • E. Emanuel Parzen
    Emanuel Parzen was an American statistician renowned for pioneering kernel density estimation, particularly through the development of the Parzen window method.
  • 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: Gábor J. Székely
Triple: [Rufus Oldenburger Medal, hasNotableRecipient, Gábor J. Székely]
Generated description
Gábor J. Székely is a Hungarian-American mathematician and statistician known for his contributions to probability theory and statistics, including work on distance correlation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gábor J. Székely
Target entity description: Gábor J. Székely is a Hungarian-American mathematician and statistician known for his contributions to probability theory and statistics, including work on distance correlation.
  • A. Steven F. Udvar-Házy
    Steven F. Udvar-Házy is a Hungarian-American aircraft leasing pioneer and billionaire businessman known for co-founding International Lease Finance Corporation and for his major philanthropic support of aviation museums.
  • B. Rudolf E. Kálmán
    Rudolf E. Kálmán was a pioneering Hungarian-American electrical engineer and mathematician best known for developing the Kalman filter, a fundamental algorithm in control theory and signal processing.
  • C. Alfréd Rényi
    Alfréd Rényi was a Hungarian mathematician renowned for his influential work in probability theory, information theory, and number theory.
  • D. Mark Kac
    Mark Kac was a Polish-American mathematician renowned for his work in probability theory and mathematical physics, particularly for linking stochastic processes with partial differential equations.
  • E. Emanuel Parzen
    Emanuel Parzen was an American statistician renowned for pioneering kernel density estimation, particularly through the development of the Parzen window method.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2de5b008190851852331db41324 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5c4acc8190a0f72ca30f187ed1 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d01af3d48190a0236affa6751a0a completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d079234881908826bf24f3c2900a completed March 4, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:39 p.m.