Triple
T19201267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Heber Holbrook |
E470112
|
entity |
| Predicate | genreOfDonatedArt |
P116586
|
FINISHED |
| Object | American painting |
—
|
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 painting | Statement: [Alfred Heber Holbrook, genreOfDonatedArt, American painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfDonatedArt Context triple: [Alfred Heber Holbrook, genreOfDonatedArt, American painting]
-
A.
donatedArtwork
Indicates that one entity has given a piece of artwork as a donation to another entity or institution.
-
B.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
C.
artCategory
chosen
Indicates the classification relationship where an artwork is assigned to a particular artistic category or genre.
-
D.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
E.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f997879c8190ae7618d1ba0cede9 |
completed | April 20, 2026, 10:01 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 12:07 p.m.