Triple
T19630670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Swing (after Fragonard) |
E471259
|
entity |
| Predicate | artistNationalityOfCreator |
P6218
|
FINISHED |
| Object | British-Nigerian |
—
|
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: British-Nigerian | Statement: [The Swing (after Fragonard), artistNationalityOfCreator, British-Nigerian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistNationalityOfCreator Context triple: [The Swing (after Fragonard), artistNationalityOfCreator, British-Nigerian]
-
A.
creatorNationality
chosen
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
B.
creditedNationalityOfArtist
Indicates the nationality that is officially attributed to an artist, as used in credits or cataloging, in relation to that artist.
-
C.
coverArtistNationality
Indicates the nationality of the artist who created the cover for a work.
-
D.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
E.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641025d708190aa44bb24671b9455 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.