Triple
T20399839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hewlett Packard Enterprise |
E500301
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | HPE Advisory and Professional Services |
—
|
NE NERFINISHED |
How this triple was built (3 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: HPE Advisory and Professional Services | Statement: [Hewlett Packard Enterprise, hasDivision, HPE Advisory and Professional Services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HPE Advisory and Professional Services Context triple: [Hewlett Packard Enterprise, hasDivision, HPE Advisory and Professional Services]
-
A.
HP Enterprise Services
HP Enterprise Services was the IT services and consulting division of Hewlett-Packard that provided outsourcing, technology, and business process services to enterprises and governments worldwide.
-
B.
HPE InfoSight
HPE InfoSight is an AI-driven predictive analytics and management platform from Hewlett Packard Enterprise that optimizes and proactively supports IT infrastructure across storage and other systems.
-
C.
Hewlett Packard Enterprise
Hewlett Packard Enterprise is a major American multinational enterprise IT company that provides servers, storage, networking, and related services to business and government customers worldwide.
-
D.
HPE (via switches and adapters)
HPE (via switches and adapters) is a leading enterprise technology provider that supplies InfiniBand-based networking hardware to support high-performance computing and data center environments.
-
E.
HPE GreenLake
HPE GreenLake is Hewlett Packard Enterprise’s hybrid cloud-as-a-service platform that delivers on-premises IT infrastructure and services with a cloud-like, pay-per-use consumption model.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HPE Advisory and Professional Services Target entity description: HPE Advisory and Professional Services is a consulting and professional services arm of Hewlett Packard Enterprise that helps organizations plan, design, and implement technology and digital transformation solutions.
-
A.
HP Enterprise Services
HP Enterprise Services was the IT services and consulting division of Hewlett-Packard that provided outsourcing, technology, and business process services to enterprises and governments worldwide.
-
B.
HPE InfoSight
HPE InfoSight is an AI-driven predictive analytics and management platform from Hewlett Packard Enterprise that optimizes and proactively supports IT infrastructure across storage and other systems.
-
C.
Hewlett Packard Enterprise
Hewlett Packard Enterprise is a major American multinational enterprise IT company that provides servers, storage, networking, and related services to business and government customers worldwide.
-
D.
HPE (via switches and adapters)
HPE (via switches and adapters) is a leading enterprise technology provider that supplies InfiniBand-based networking hardware to support high-performance computing and data center environments.
-
E.
HPE GreenLake
HPE GreenLake is Hewlett Packard Enterprise’s hybrid cloud-as-a-service platform that delivers on-premises IT infrastructure and services with a cloud-like, pay-per-use consumption model.
- F. None of above. chosen
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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798db79c819085e3a2526538726f |
completed | April 20, 2026, 7:07 p.m. |
Created at: April 16, 2026, 11:29 a.m.