Triple
T26992361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cilk work-stealing scheduler |
E679890
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | work-stealing scheduler |
C34759
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: work-stealing scheduler Context triple: [Cilk work-stealing scheduler, instanceOf, work-stealing scheduler]
-
A.
CPU scheduler
A CPU scheduler is a system component that decides which process or thread runs on the CPU at any given time to optimize performance and resource utilization.
-
B.
parallel programming library
chosen
A parallel programming library is a collection of tools, abstractions, and APIs that enable developers to write programs that execute multiple computations concurrently across multiple cores, processors, or machines to improve performance and scalability.
-
C.
multitasking operating system
A multitasking operating system is software that manages computer hardware and resources to run multiple processes or applications seemingly simultaneously by rapidly switching the CPU among them and coordinating their execution.
-
D.
workload management system
A workload management system is a software solution that plans, allocates, monitors, and optimizes tasks and resources across teams or infrastructure to ensure efficient, balanced, and timely completion of work.
-
E.
parallel computing standard
A parallel computing standard is a formally defined specification that enables coordinated execution and communication among multiple processing elements to efficiently perform computations concurrently across diverse hardware platforms.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 27, 2026, 6:52 a.m.