Triple
T34256184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Memorial Hospital |
E878882
|
entity |
| Predicate | primaryProtagonistWorksAt |
—
|
GENERATED |
| Object | Emily Owens |
—
|
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: primaryProtagonistWorksAt Context triple: [Denver Memorial Hospital, primaryProtagonistWorksAt, Emily Owens]
-
A.
protagonistWorksFor
chosen
Indicates that the protagonist is employed by or under the authority of another entity (such as a person, organization, or group).
-
B.
protagonistEmployerLocation
Indicates the location where the protagonist’s employer is based or operates.
-
C.
protagonistParentOccupation
Indicates the occupation or job held by the protagonist’s parent in the described context.
-
D.
mainCharacterWorkplaceType
Indicates the type or kind of workplace where the main character is employed or primarily works.
-
E.
featuresProtagonistOccupation
Indicates that the work’s main character has a specified occupation or job 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.