Triple
T20399844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hewlett Packard Enterprise |
E500301
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object |
Silver Peak
Silver Peak is a networking company best known for its software-defined wide area networking (SD-WAN) solutions that optimize and secure enterprise WAN connectivity.
|
E1428148
|
NE FINISHED |
How this triple was built (4 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: Silver Peak | Statement: [Hewlett Packard Enterprise, acquired, Silver Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Peak Context triple: [Hewlett Packard Enterprise, acquired, Silver Peak]
-
A.
Silver Peak
Silver Peak is a small historic mining town in Nevada known for its lithium production and remote desert setting.
-
B.
Silverbar
Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
-
C.
Scalo
Scalo was a Swiss independent art book publisher known for producing high-quality photography and contemporary art publications.
-
D.
Setonix
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
E.
Cloud Peak
Cloud Peak is the tallest mountain in Wyoming’s Bighorn Range, known for its rugged alpine terrain and prominent glaciated summit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silver Peak Triple: [Hewlett Packard Enterprise, acquired, Silver Peak]
Generated description
Silver Peak is a networking company best known for its software-defined wide area networking (SD-WAN) solutions that optimize and secure enterprise WAN connectivity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Peak Target entity description: Silver Peak is a networking company best known for its software-defined wide area networking (SD-WAN) solutions that optimize and secure enterprise WAN connectivity.
-
A.
Silver Peak
Silver Peak is a small historic mining town in Nevada known for its lithium production and remote desert setting.
-
B.
Silverbar
Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
-
C.
Scalo
Scalo was a Swiss independent art book publisher known for producing high-quality photography and contemporary art publications.
-
D.
Setonix
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
E.
Cloud Peak
Cloud Peak is the tallest mountain in Wyoming’s Bighorn Range, known for its rugged alpine terrain and prominent glaciated summit.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08762bd7e881909ceddb1b3c26a914 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0877b7ed888190bccc1ba665528aca |
completed | May 16, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087834ea1c8190b1b94c70a807668a |
completed | May 16, 2026, 1:59 p.m. |
Created at: April 16, 2026, 11:29 a.m.