Triple
T20442125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Fine Arts in Prague |
E501420
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Toyen |
—
|
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: Toyen | Statement: [Academy of Fine Arts in Prague, hasNotableAlumni, Toyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyen Context triple: [Academy of Fine Arts in Prague, hasNotableAlumni, Toyen]
-
A.
Toyen
chosen
Toyen was a Czech avant-garde painter and illustrator known for her distinctive contributions to surrealism and erotic art in 20th-century Europe.
-
B.
Toyone
Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
-
C.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
-
D.
Toyono
Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
-
E.
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f3b794819080745b135a305ba7 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:32 a.m.