Triple
T15651883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of a Young Man (Karel Dujardin) |
E376331
|
entity |
| Predicate | painterNationality |
P6218
|
FINISHED |
| Object | Dutch |
—
|
LITERAL 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: Dutch | Statement: [Portrait of a Young Man (Karel Dujardin), painterNationality, Dutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: painterNationality Context triple: [Portrait of a Young Man (Karel Dujardin), painterNationality, Dutch]
-
A.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
B.
painter
Indicates that one entity creates paintings of, or is responsible for painting, another entity.
-
C.
coverArtistNationality
Indicates the nationality of the artist who created the cover for a work.
-
D.
sculptorNationality
Indicates that a sculptor has a specific national affiliation or citizenship.
-
E.
creatorNationality
chosen
Indicates that the creator of an entity has a specified national affiliation or citizenship.
- F. None of above.
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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.