Triple
T10442631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béla Károlyi |
E246205
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Márta Károlyi |
E246206
|
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: Márta Károlyi | Statement: [Béla Károlyi, spouse, Márta Károlyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Márta Károlyi Context triple: [Béla Károlyi, spouse, Márta Károlyi]
-
A.
Márta Károlyi
chosen
Márta Károlyi is a Romanian-American gymnastics coach renowned for co-developing the dominant Romanian and later U.S. women's gymnastics programs alongside her husband, Béla Károlyi.
-
B.
Ilona Kovács
Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
-
C.
Márta Borbíró
Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
-
D.
Éva Gábor
Éva Gábor was a Hungarian-American actress, singer, and businesswoman best known for her role as Lisa Douglas on the television sitcom "Green Acres."
-
E.
Ilona Komocsin
Ilona Komocsin was the wife and muse of Hungarian architect and sculptor Jenő Bory, for whom he built the romantic Bory Castle as a monument to their love.
- 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_69d87ee0c2208190ae8d51a2a89a2586 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.