Triple
T15762933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | József Rippl-Rónai |
E382142
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rippl-Rónai |
E801566
|
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: Rippl-Rónai | Statement: [József Rippl-Rónai, familyName, Rippl-Rónai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rippl-Rónai Context triple: [József Rippl-Rónai, familyName, Rippl-Rónai]
-
A.
Rippl-Rónai József
chosen
Rippl-Rónai József was a prominent Hungarian Post-Impressionist painter known for his role in introducing modern French artistic trends to Hungarian art at the turn of the 20th century.
-
B.
Várkonyi
Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
-
C.
Frigyes
Frigyes is a Hungarian masculine given name, notably borne by the influential mathematician Frigyes Riesz.
-
D.
Ernő
Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
-
E.
Vasarhelyi
Vasarhelyi is the surname of Elizabeth Chai Vasarhelyi, an acclaimed documentary filmmaker known for works like "Free Solo."
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8776c2488190ad27fd79e2ce4e14 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.