Triple
T1558884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Gelsinger |
E33271
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | VMware |
E119418
|
NE FINISHED |
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: VMware | Statement: [Pat Gelsinger, employer, VMware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VMware Context triple: [Pat Gelsinger, employer, VMware]
-
A.
VMware
chosen
VMware is a leading American cloud computing and virtualization technology company known for its pioneering hypervisor and software-defined data center solutions.
-
B.
VirtualBox
VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
-
C.
Hyper-V
Hyper-V is Microsoft's native hypervisor platform that enables the creation and management of virtual machines on Windows systems.
-
D.
Oracle Cloud VMware Solution
Oracle Cloud VMware Solution is a managed cloud service that lets organizations run native VMware-based workloads on Oracle Cloud Infrastructure with full control over their VMware stack.
-
E.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3710688c8190a280f03bced5601f |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.