Triple
T37036625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph A. Walder |
E916656
|
entity |
| Predicate | hasFoundedOrganizationIn |
P129737
|
FINISHED |
| Object | United States of America |
—
|
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 of America | Statement: [Joseph A. Walder, hasFoundedOrganizationIn, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFoundedOrganizationIn Context triple: [Joseph A. Walder, hasFoundedOrganizationIn, United States of America]
-
A.
hasFoundedCompany
Indicates that a person or entity has established or created a company.
-
B.
foundedBusinessIn
chosen
Indicates that an entity established or started a business in a particular location or jurisdiction.
-
C.
foundedOrganization
Indicates that an entity established or created an organization.
-
D.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
E.
organizationFounded
Indicates that an organization was established or created at a specific point in time, often by a particular founder or founding 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:14 p.m.