Triple
T10621318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jermaine Lamarr Cole |
E250210
|
entity |
| Predicate | graduationStatus |
P35205
|
FINISHED |
| Object | magna cum laude |
—
|
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: magna cum laude | Statement: [Jermaine Lamarr Cole, graduationStatus, magna cum laude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduationStatus Context triple: [Jermaine Lamarr Cole, graduationStatus, magna cum laude]
-
A.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
B.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
C.
graduation
Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
-
D.
collegeStatus
Indicates the current relationship or standing an individual has with a college, such as enrolled, graduated, or withdrawn.
-
E.
hasRankUponGraduation
chosen
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:50 p.m.