Triple
T29211887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budhan |
E740566
|
entity |
| Predicate | associatedWithLearning |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLearning Context triple: [Budhan, associatedWithLearning, true]
-
A.
earntBy
Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular entity.
-
B.
associatedWithReasoning
Indicates that one entity is connected to or involved with another entity specifically through a reasoning, inference, or justification process.
-
C.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
D.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
E.
associatedWithSubject
chosen
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
- F. None of above.
Provenance (1 batch)
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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 28, 2026, 12:11 p.m.