Triple
T19069477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behind Bars |
E466755
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Get a Job |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Get a Job | Statement: [Behind Bars, hasTrack, Get a Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get a Job Context triple: [Behind Bars, hasTrack, Get a Job]
-
A.
Get a Job
chosen
"Get a Job" is a song by the American doo-wop group The Silhouettes, best known for its catchy refrain and depiction of unemployment and job-seeking in 1950s America.
-
B.
JobOperator API
The JobOperator API is a central Jakarta Batch interface that allows applications to manage and control batch jobs at runtime, including starting, stopping, and querying job executions.
-
C.
JobInstance API
The JobInstance API is a Jakarta Batch component that defines and manages individual executions of batch jobs, including their identity and lifecycle metadata.
-
D.
JobExecution API
JobExecution API is a Jakarta Batch component that represents and manages the runtime state and metadata of a batch job execution.
-
E.
JobManager
JobManager is the central coordination component in Apache Flink responsible for managing job execution, resource allocation, and task scheduling across the cluster.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19caa708190876a2cb06aa0c9cc |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.