Triple
T12365281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivian Malone Jones |
E294843
|
entity |
| Predicate | receivedDegree |
P6482
|
FINISHED |
| Object | bachelor’s degree in business management |
—
|
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’s degree in business management | Statement: [Vivian Malone Jones, receivedDegree, bachelor’s degree in business management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedDegree Context triple: [Vivian Malone Jones, receivedDegree, bachelor’s degree in business management]
-
A.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
B.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
C.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
D.
hasDegree
chosen
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
E.
hasRankUponGraduation
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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.