Triple
T37793288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Bowen |
E942138
|
entity |
| Predicate | foundedCompanyFromProjectAt |
P64395
|
FINISHED |
| Object | Stanford University |
—
|
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: Stanford University | Statement: [Adam Bowen, foundedCompanyFromProjectAt, Stanford University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedCompanyFromProjectAt Context triple: [Adam Bowen, foundedCompanyFromProjectAt, Stanford University]
-
A.
foundedProject
Indicates that an entity initiated and established a particular project.
-
B.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
C.
hasCompanyFoundedThere
Indicates that a company was founded at or in the specified location.
-
D.
companyFoundedWith
chosen
Indicates that a company was established using or in association with a particular resource, organization, or founding context.
-
E.
foundedBusinessIn
Indicates that an entity established or started a business in a particular location or jurisdiction.
- 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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: May 3, 2026, 4:19 p.m.