Triple
T33557690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wren Petersen |
E859525
|
entity |
| Predicate | hasProfessionContext |
—
|
GENERATED |
| Object | humanitarian aid |
—
|
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: hasProfessionContext Context triple: [Wren Petersen, hasProfessionContext, humanitarian aid]
-
A.
hasProfessionSetting
Indicates that an entity’s professional activity or role is carried out within a particular setting or environment.
-
B.
subjectHasOccupationContext
Indicates that a subject’s occupation is specified or interpreted within a particular contextual framework (such as time, place, or situation).
-
C.
hasGivenProfession
chosen
Indicates that an entity holds or practices a specified profession or occupation.
-
D.
hasProfessionInNarrative
Indicates that an entity holds or is assigned a particular profession or occupational role within the context of a narrative or story.
-
E.
hasProfessionTrait
Indicates that an entity possesses a particular characteristic, quality, or attribute specifically related to their profession or occupational role.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:40 a.m.