Triple
T34909841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jester Clane |
E1006833
|
entity |
| Predicate | associatedWithWorkSetting |
—
|
GENERATED |
| Object | segregated American South |
—
|
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: associatedWithWorkSetting Context triple: [Jester Clane, associatedWithWorkSetting, segregated American South]
-
A.
associatedWithInWork
Indicates that two entities are connected or related to each other within the context of a particular work or project.
-
B.
associatedWithWorkforce
Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
-
C.
associatedWithWorkplace
Indicates a relationship where an entity has a connection or affiliation with a particular workplace or place of employment.
-
D.
associatedWithWorkOf
Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
-
E.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
- F. None of above. chosen
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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.