Triple
T14158718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy Bryant |
E350878
|
entity |
| Predicate | receivedEducationGrant |
P113041
|
FINISHED |
| Object | full academic scholarship |
—
|
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: full academic scholarship | Statement: [Joy Bryant, receivedEducationGrant, full academic scholarship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedEducationGrant Context triple: [Joy Bryant, receivedEducationGrant, full academic scholarship]
-
A.
hasEducationFund
Indicates that an entity possesses or is associated with a dedicated fund intended to support educational expenses or activities.
-
B.
hasEducationalSupportFrom
Indicates that one entity receives educational assistance, guidance, or resources from another entity.
-
C.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
D.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
E.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
- F. None of above. chosen
Provenance (4 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:58 a.m.