Triple
T9532841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data General |
E229936
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | CLARiiON |
E668696
|
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: CLARiiON | Statement: [Data General, notableProduct, CLARiiON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLARiiON Context triple: [Data General, notableProduct, CLARiiON]
-
A.
CLARiiON
chosen
CLARiiON is a midrange storage area network (SAN) disk array line known for its reliability and performance in enterprise data storage environments.
-
B.
XtremIO
XtremIO is EMC Corporation’s all-flash storage array platform designed for high-performance, low-latency enterprise data storage and virtualization workloads.
-
C.
Symmetrix
Symmetrix is EMC Corporation’s flagship enterprise storage array family, known for high-end performance, reliability, and scalability in large data center environments.
-
D.
VNX
VNX is EMC Corporation’s unified storage platform designed to provide scalable, high-performance block and file data storage for enterprise environments.
-
E.
Isilon
Isilon is a scale-out network-attached storage platform known for its high-performance, clustered file system designed for large-scale data environments.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4033c08190a71535b63d86f4df |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8 p.m.