Triple
T19972937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giverny artist colony |
E480122
|
entity |
| Predicate | attractedArtists |
P29580
|
FINISHED |
| Object | art students from the United States |
—
|
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: art students from the United States | Statement: [Giverny artist colony, attractedArtists, art students from the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractedArtists Context triple: [Giverny artist colony, attractedArtists, art students from the United States]
-
A.
attractedArtist
Indicates that one artist feels romantic or emotional attraction toward another artist.
-
B.
artistsFrom
chosen
Indicates that one or more artists originate from, are associated with, or come from a specified place or region.
-
C.
influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
D.
inspiredArtist
Indicates that one artist has served as a source of creative influence or inspiration for another artist.
-
E.
notableArtist
Indicates that the subject is an artist who is widely recognized or distinguished for their work.
- 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.