Triple
T1449938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Kramer |
E31266
|
entity |
| Predicate | businessTypeFounded |
P8556
|
FINISHED |
| Object | independent bookstore |
—
|
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: independent bookstore | Statement: [Bill Kramer, businessTypeFounded, independent bookstore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessTypeFounded Context triple: [Bill Kramer, businessTypeFounded, independent bookstore]
-
A.
organizationTypeFounded
chosen
Indicates the type or category of organization that was established or created in a founding event.
-
B.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
C.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
D.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
-
E.
foundedAfter
Indicates that one entity was founded at a later time than another 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55d923c8190957756f834f94462 |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.