Triple
T19972924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giverny artist colony |
E480122
|
entity |
| Predicate | primaryNationalityOfArtists |
P32389
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Giverny artist colony, primaryNationalityOfArtists, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryNationalityOfArtists Context triple: [Giverny artist colony, primaryNationalityOfArtists, American]
-
A.
primaryArtistNationality
chosen
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
B.
creditedNationalityOfArtist
Indicates the nationality that is officially attributed to an artist, as used in credits or cataloging, in relation to that artist.
-
C.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
D.
worksWithArtistNationality
Indicates that one entity collaborates or is professionally associated in their work with artists of a specified nationality.
-
E.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bca94c0819095c902a411c4c4b8 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.