Triple
T8213858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Júlia Justína Zavacká |
E191887
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zavacká |
E191888
|
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: Zavacká | Statement: [Júlia Justína Zavacká, familyName, Zavacká]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zavacká Context triple: [Júlia Justína Zavacká, familyName, Zavacká]
-
A.
Zavacká
chosen
Zavacká is the original Slovak family name of Julia Warhola, the mother of American pop artist Andy Warhol.
-
B.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
C.
Jindřišská
Jindřišská is a central Prague street known for connecting Wenceslas Square with the historic Jindřišská Tower and serving as a major tram and traffic route in the city center.
-
D.
Kriváň
Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
-
E.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76e1ffa081908883338e7d3a7c6d |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34c010b48190b564fd365a5304d1 |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:44 p.m.