Triple
T34999649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totty Poyser |
E1009633
|
entity |
| Predicate | associatedWithOccupationOfFamily |
—
|
GENERATED |
| Object | dairy farming |
—
|
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: associatedWithOccupationOfFamily Context triple: [Totty Poyser, associatedWithOccupationOfFamily, dairy farming]
-
A.
employedByFamily
Indicates that a person is employed in a job or role by a family member or a family-owned entity.
-
B.
siblingOccupation
Indicates that one person has a sibling whose job or profession is the specified occupation.
-
C.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
D.
familyProfession
chosen
Indicates that a person’s profession is shared with or traditionally practiced within their family, reflecting an occupational lineage or family trade.
-
E.
hasFamilyRelationInWork
Indicates that there exists a family relationship between two entities within the context of a specific work (e.g., book, film, or other creative work).
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.