Triple
T36606672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickel and Dimed |
E903060
|
entity |
| Predicate | featuresJob |
—
|
GENERATED |
| Object | waitress |
—
|
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: featuresJob Context triple: [Nickel and Dimed, featuresJob, waitress]
-
A.
featuresTask
Indicates that an entity includes or presents a specific task as one of its components or elements.
-
B.
featuresWorkType
chosen
Indicates that an entity includes, supports, or is characterized by a particular type or category of work.
-
C.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
D.
workFeatured
Indicates that one work is highlighted, showcased, or given special prominence within a particular context, collection, or presentation.
-
E.
featuresSign
Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.