Triple
T2365591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opsware |
E47370
|
entity |
| Predicate | parentCompanyAfterAcquisition |
P197
|
FINISHED |
| Object | HP Software division |
E7429
|
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: HP Software division | Statement: [Opsware, parentCompanyAfterAcquisition, HP Software division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HP Software division Context triple: [Opsware, parentCompanyAfterAcquisition, HP Software division]
-
A.
HP
HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
-
B.
Hewlett-Packard
chosen
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
-
C.
HP ProLiant servers
HP ProLiant servers are a widely used line of enterprise-class x86 server systems designed for data centers and business IT infrastructure.
-
D.
Compaq ProLiant
Compaq ProLiant was a line of enterprise server computers developed by Compaq that became widely used in data centers before the brand was succeeded by HP ProLiant.
-
E.
Dell
Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc749f8e0819094144b9dd9db8790 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea896e0388190aabff2d70787dc43 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:55 p.m.