Triple
T38310280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Executive Officer of Advanced Micro Devices |
E1033662
|
entity |
| Predicate | employerHeadquartersCountry |
P12991
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Chief Executive Officer of Advanced Micro Devices, employerHeadquartersCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerHeadquartersCountry Context triple: [Chief Executive Officer of Advanced Micro Devices, employerHeadquartersCountry, United States]
-
A.
countryOfHeadquartersOfEmployer
chosen
Indicates the country where the employing organization’s main headquarters is located.
-
B.
organizationHeadquarteredInCountry
Indicates that an organization’s main headquarters or principal place of business is located within a specified country.
-
C.
countryOfEmployer
Indicates the country in which the employer of a given person or entity is based.
-
D.
repositoryCountry
Indicates the country in which a repository is located or maintained.
-
E.
countryOfParentOrganization
Indicates that an organization is located in or associated with the country where its parent organization is based.
- 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_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:30 p.m.