Triple

T20681490
Position Surface form Disambiguated ID Type / Status
Subject Kerri Strug E508302 entity
Predicate trainedUnder P36609 FINISHED
Object Béla Károlyi NE NERFINISHED

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: Béla Károlyi | Statement: [Kerri Strug, trainedUnder, Béla Károlyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béla Károlyi
Context triple: [Kerri Strug, trainedUnder, Béla Károlyi]
  • A. Béla Károlyi chosen
    Béla Károlyi is a renowned Romanian-American gymnastics coach best known for training multiple Olympic champions and revolutionizing elite women's gymnastics.
  • B. Károly Keleti
    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.
  • C. Fülöp Kocsis
    Fülöp Kocsis is a Hungarian Greek Catholic prelate who serves as the Major Archbishop and head of the Hungarian Greek Catholic Church.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea842dc81908106a0c29d1577aa completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.