Triple
T20923984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Varady |
E515287
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Julia Várady |
—
|
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: Julia Várady | Statement: [Julia Varady, fullName, Julia Várady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Várady Context triple: [Julia Varady, fullName, Julia Várady]
-
A.
Zita Horváth
Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
-
B.
Veronika Jenet
Veronika Jenet is an Australian film editor best known for her acclaimed work on feature films such as "The Piano."
-
C.
Nina Varzar
Nina Varzar was the wife of renowned Soviet composer Dmitri Shostakovich and a physicist by profession.
-
D.
Ilona Kovács
Ilona Kovács was the wife of renowned Hungarian-American film director Michael Curtiz.
-
E.
Julia Varady
chosen
Julia Varady was a renowned Hungarian-born German operatic soprano celebrated for her powerful voice and dramatic intensity, particularly in the works of Verdi and Strauss.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.