Triple

T20367794
Position Surface form Disambiguated ID Type / Status
Subject Keleti Károly Faculty of Business and Management E496959 entity
Predicate namedAfter P63 FINISHED
Object Károly Keleti NE NERFINISHED

How this triple was built (3 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: Károly Keleti | Statement: [Keleti Károly Faculty of Business and Management, namedAfter, Károly Keleti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Károly Keleti
Context triple: [Keleti Károly Faculty of Business and Management, namedAfter, Károly Keleti]
  • A. István Gyergyay
    István Gyergyay, better known as Steven Geray, was a Hungarian-American character actor who appeared in numerous Hollywood films from the 1930s through the 1960s.
  • B. Sándor Kocsis
    Sándor Kocsis was a legendary Hungarian footballer and prolific goal scorer, renowned as one of the greatest strikers of the 1950s and a key figure in Hungary’s famed "Mighty Magyars" team.
  • C. Gergely Csiky
    Gergely Csiky was a 19th-century Hungarian playwright and novelist known for his realistic social dramas and significant influence on Hungarian theatre.
  • D. Fülöp Kocsis
    Fülöp Kocsis is a Hungarian Greek Catholic prelate who serves as the Major Archbishop and head of the Hungarian Greek Catholic Church.
  • E. Ferenc Szombathelyi
    Ferenc Szombathelyi was a Hungarian military officer who served as Chief of the General Staff of the Royal Hungarian Army during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Károly Keleti
Target entity description: Károly Keleti was a prominent Hungarian economist and statistician known for his influential work in the development of economic statistics and public finance in Hungary.
  • A. István Gyergyay
    István Gyergyay, better known as Steven Geray, was a Hungarian-American character actor who appeared in numerous Hollywood films from the 1930s through the 1960s.
  • B. Sándor Kocsis
    Sándor Kocsis was a legendary Hungarian footballer and prolific goal scorer, renowned as one of the greatest strikers of the 1950s and a key figure in Hungary’s famed "Mighty Magyars" team.
  • C. Gergely Csiky
    Gergely Csiky was a 19th-century Hungarian playwright and novelist known for his realistic social dramas and significant influence on Hungarian theatre.
  • D. Fülöp Kocsis
    Fülöp Kocsis is a Hungarian Greek Catholic prelate who serves as the Major Archbishop and head of the Hungarian Greek Catholic Church.
  • E. Ferenc Szombathelyi
    Ferenc Szombathelyi was a Hungarian military officer who served as Chief of the General Staff of the Royal Hungarian Army during World War II.
  • F. None of above. chosen

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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6787291d88190a526fe2461d2a7c6 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.