Triple

T10442674
Position Surface form Disambiguated ID Type / Status
Subject Márta Károlyi E246206 entity
Predicate spouse P13 FINISHED
Object Béla Károlyi E246205 NE FINISHED

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: [Márta Károlyi, spouse, Béla Károlyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béla Károlyi
Context triple: [Márta Károlyi, spouse, 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. Fülöp Kocsis
    Fülöp Kocsis is a Hungarian Greek Catholic prelate who serves as the Major Archbishop and head of the Hungarian Greek Catholic Church.
  • C. 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.
  • D. József Alvinczi
    József Alvinczi was an Austrian Feldmarschall of Hungarian origin who served as one of the Habsburg Monarchy’s principal commanders against Revolutionary France in the Italian campaigns.
  • E. Zoltán Nagy
    Zoltán Nagy is a Hungarian name shared by several notable individuals, including professionals in fields such as sports, music, and academia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:15 p.m.