Triple
T35001189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Café |
E1009683
|
entity |
| Predicate | hasRegularPatron |
—
|
GENERATED |
| Object | Jake Blount |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularPatron Context triple: [New York Café, hasRegularPatron, Jake Blount]
-
A.
hasPatronCharacter
Indicates that one entity serves as a patron, protector, or guiding figure for another entity.
-
B.
hasPatronHonored
Indicates that a patron is formally recognized or honored in association with another entity, such as an institution, work, or event.
-
C.
hasPatrons
Indicates that an entity is supported, frequented, or regularly used by one or more patrons.
-
D.
declaredPatron
Indicates that one entity has formally announced or recognized another entity as its patron or sponsor.
-
E.
frequentPatron
chosen
Indicates that one entity regularly and repeatedly visits, uses, or patronizes another entity (such as a place, service, or establishment).
- F. None of above.
Provenance (1 batch)
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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.