Triple
T33655744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OakSmash |
E862215
|
entity |
| Predicate | associatedOccupationOfOwner |
—
|
GENERATED |
| Object | actor |
—
|
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: associatedOccupationOfOwner Context triple: [OakSmash, associatedOccupationOfOwner, actor]
-
A.
ownerProfession
chosen
Indicates that the profession or occupation is associated with, or held by, the owner of a specified entity.
-
B.
involvedOccupationOf
Indicates that an entity participates in or is associated with a particular occupation or professional role.
-
C.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
D.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
E.
employerOrOwnerOf
Indicates that one entity serves as the employer of, or holds ownership over, another entity.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.