Triple

T22016349
Position Surface form Disambiguated ID Type / Status
Subject Mendel Rosenblum E543720 entity
Predicate employer P7 FINISHED
Object VMware 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: VMware | Statement: [Mendel Rosenblum, employer, VMware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VMware
Context triple: [Mendel Rosenblum, 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. VMware vSphere
    VMware vSphere is VMware’s flagship virtualization and cloud computing platform for building and managing virtualized data centers and private clouds.
  • C. VMware ESXi
    VMware ESXi is a bare-metal hypervisor from VMware that enables virtualization by running multiple virtual machines directly on server hardware without a traditional underlying operating system.
  • D. VMware Workstation
    VMware Workstation is a desktop virtualization software application that allows users to run multiple operating systems simultaneously on a single physical machine.
  • E. VMware vSAN
    VMware vSAN is a software-defined storage solution that integrates with VMware vSphere to pool and manage local storage resources across a cluster of ESXi hosts for virtualized workloads.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a8a1388190b9e0c1795fe1183a completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.