Triple
T23112945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin Russell |
E576369
|
entity |
| Predicate | companyFoundedHeadquartersIndustry |
P121416
|
FINISHED |
| Object | automotive lidar |
—
|
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: automotive lidar | Statement: [Austin Russell, companyFoundedHeadquartersIndustry, automotive lidar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyFoundedHeadquartersIndustry Context triple: [Austin Russell, companyFoundedHeadquartersIndustry, automotive lidar]
-
A.
headquartersFoundedCompanyIn
Indicates that a headquarters entity established or founded a particular company.
-
B.
companyFoundedFocus
chosen
Indicates that a company was founded with a particular primary focus, such as a specific industry, mission, or area of activity.
-
C.
usedByCompanyHeadquarteredIn
Indicates that something (such as a product, service, or technology) is utilized by a company whose main headquarters is located in a specified place.
-
D.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
E.
notableCompanyFoundedIn
Indicates that a company is recognized as notable and was founded in the specified location or time period.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e100d408190a7349563235640d5 |
completed | April 29, 2026, 4:50 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:58 p.m.