Triple
T19508923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vCenter Server |
E488096
|
entity |
| Predicate | enables |
P273
|
FINISHED |
| Object | Distributed Resource Scheduler |
—
|
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: Distributed Resource Scheduler | Statement: [vCenter Server, enables, Distributed Resource Scheduler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Distributed Resource Scheduler Context triple: [vCenter Server, enables, Distributed Resource Scheduler]
-
A.
Distributed Resource Management Application API
Distributed Resource Management Application API is a standardized programming interface that allows applications to submit and control jobs on distributed resource management and grid computing systems.
-
B.
VMware Distributed Resource Scheduler
chosen
VMware Distributed Resource Scheduler is a vSphere feature that automatically balances virtual machine workloads across a cluster of ESXi hosts to optimize performance and resource utilization.
-
C.
Planning Tool for Resource Integration, Synchronization, and Management
PRISM is a U.S. military logistics and planning software system designed to coordinate and optimize the allocation, synchronization, and management of operational resources.
-
D.
Ray distributed computing framework
Ray distributed computing framework is an open-source system for scaling Python applications that provides simple primitives for distributed execution and supports building and running large-scale machine learning and data processing workloads.
-
E.
Workload Manager
Workload Manager is a system or software component that monitors, prioritizes, and allocates computing resources to different tasks or applications to optimize overall performance and efficiency.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351426448190aec1ee26c09faa24 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.