Triple
T20923986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Varady |
E515287
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Várady
Várady is the surname of Julia Várady, a renowned Romanian-born German operatic soprano celebrated for her powerful voice and dramatic interpretations.
|
E1458573
|
NE FINISHED |
How this triple was built (4 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: Várady | Statement: [Julia Varady, familyName, Várady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Várady Context triple: [Julia Varady, familyName, Várady]
-
A.
Vajda
Vajda is a Hungarian surname most notably borne by Ernst Vajda, a playwright and screenwriter active in early 20th-century European and American cinema.
-
B.
Vásáry
Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
-
C.
Erdődy
Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
-
D.
Vasarhelyi
Vasarhelyi is the surname of Elizabeth Chai Vasarhelyi, an acclaimed documentary filmmaker known for works like "Free Solo."
-
E.
Várkonyi
Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Várady Triple: [Julia Varady, familyName, Várady]
Generated description
Várady is the surname of Julia Várady, a renowned Romanian-born German operatic soprano celebrated for her powerful voice and dramatic interpretations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Várady Target entity description: Várady is the surname of Julia Várady, a renowned Romanian-born German operatic soprano celebrated for her powerful voice and dramatic interpretations.
-
A.
Vajda
Vajda is a Hungarian surname most notably borne by Ernst Vajda, a playwright and screenwriter active in early 20th-century European and American cinema.
-
B.
Vásáry
Vásáry is a Hungarian surname most prominently associated with the renowned pianist and conductor Tamás Vásáry.
-
C.
Erdődy
Erdődy is the name of a historic Croatian-Hungarian noble family prominent in the politics and military affairs of the Habsburg Monarchy.
-
D.
Vasarhelyi
Vasarhelyi is the surname of Elizabeth Chai Vasarhelyi, an acclaimed documentary filmmaker known for works like "Free Solo."
-
E.
Várkonyi
Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fca98948190b7a5920b507bd0ab |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a09242314bc8190a16b8c43f1720c7c |
completed | May 17, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0924e6ae648190a89a63ced5330db2 |
completed | May 17, 2026, 2:16 a.m. |
Created at: April 16, 2026, 12:49 p.m.