Triple
T14087104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VMDK |
E339025
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | VMware Fusion |
E510817
|
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 Fusion | Statement: [VMDK, usedIn, VMware Fusion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VMware Fusion Context triple: [VMDK, usedIn, VMware Fusion]
-
A.
VMware Fusion
chosen
VMware Fusion is a virtualization software application for macOS that allows users to run Windows and other operating systems alongside Mac applications on the same machine.
-
B.
VMware Workstation
VMware Workstation is a desktop virtualization software application that allows users to run multiple operating systems simultaneously on a single physical machine.
-
C.
Parallels Desktop
Parallels Desktop is a virtualization software for macOS that allows users to run Windows and other operating systems alongside macOS applications.
-
D.
VMware
VMware is a leading American cloud computing and virtualization technology company known for its pioneering hypervisor and software-defined data center solutions.
-
E.
VirtualBox
VirtualBox is a popular open-source virtualization platform that allows users to run multiple operating systems simultaneously on a single physical machine.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefe88b481908b3dca1f019e7809 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.