Triple
T38310268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Executive Officer of Advanced Micro Devices |
E1033662
|
entity |
| Predicate | employerProducts |
P104011
|
FINISHED |
| Object | central processing units |
—
|
LITERAL 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: central processing units | Statement: [Chief Executive Officer of Advanced Micro Devices, employerProducts, central processing units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerProducts Context triple: [Chief Executive Officer of Advanced Micro Devices, employerProducts, central processing units]
-
A.
dataProductOf
Indicates that one entity is a data product that is derived from, produced by, or otherwise results from another entity.
-
B.
vendorProductOf
chosen
Indicates that a product is offered or supplied by a particular vendor.
-
C.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
D.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
-
E.
employerService
Indicates that one entity provides employment-related services or functions to another entity, typically in the role of an employer.
- F. None of above.
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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:30 p.m.