Triple
T6068610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muriel McBrien Kauffman Charitable Foundation |
E135221
|
entity |
| Predicate | grantmakingArea |
P9241
|
FINISHED |
| Object | arts and culture |
—
|
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: arts and culture | Statement: [Muriel McBrien Kauffman Charitable Foundation, grantmakingArea, arts and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantmakingArea Context triple: [Muriel McBrien Kauffman Charitable Foundation, grantmakingArea, arts and culture]
-
A.
grantmakingType
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
-
B.
regionOfPhilanthropy
Indicates the geographic area or location where philanthropic activities, donations, or charitable efforts are directed or take place.
-
C.
fieldOfPhilanthropy
chosen
Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
-
D.
genreOfPhilanthropy
Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
-
E.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0574157848190bb8e0972eb55a363 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.