Triple
T16158353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fine arts academy |
E392110
|
entity |
| Predicate | mayGrantDegree |
P74042
|
FINISHED |
| Object | Bachelor of Fine Arts |
—
|
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: Bachelor of Fine Arts | Statement: [fine arts academy, mayGrantDegree, Bachelor of Fine Arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayGrantDegree Context triple: [fine arts academy, mayGrantDegree, Bachelor of Fine Arts]
-
A.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
-
B.
mayBeConferredAs
Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
-
C.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
D.
mayGrant
chosen
Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
-
E.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5c9cd0819090e34ee163ffb118 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.