Triple
T38310267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Executive Officer of Advanced Micro Devices |
E1033662
|
entity |
| Predicate | employerFoundedIn |
P168632
|
FINISHED |
| Object | Sunnyvale, California |
—
|
NE NERFINISHED |
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: Sunnyvale, California | Statement: [Chief Executive Officer of Advanced Micro Devices, employerFoundedIn, Sunnyvale, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerFoundedIn Context triple: [Chief Executive Officer of Advanced Micro Devices, employerFoundedIn, Sunnyvale, California]
-
A.
businessFoundedIn
chosen
Indicates that a business entity was established or came into existence in a specific location or time.
-
B.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
-
C.
parentOrganizationFoundedIn
Indicates that the parent organization of an entity was established in a specified year or time period.
-
D.
coFoundedIn
Indicates that two or more entities jointly founded something (such as an organization or company) in a specific place or at a specific time.
-
E.
organizationFoundedAs
Indicates that an organization was originally established under a particular name, form, or predecessor entity.
- 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_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:30 p.m.