Triple
T22985787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vin Lananna |
E571601
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Oberlin, Ohio |
—
|
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: Oberlin, Ohio | Statement: [Vin Lananna, workLocation, Oberlin, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberlin, Ohio Context triple: [Vin Lananna, workLocation, Oberlin, Ohio]
-
A.
Oberlin, Ohio
chosen
Oberlin, Ohio is a small city in northern Ohio best known as the home of Oberlin College and Conservatory, a historically progressive liberal arts institution.
-
B.
Berea, Ohio
Berea, Ohio is a suburban city near Cleveland known historically for its sandstone quarries and as the home of Baldwin Wallace University.
-
C.
Urbana, Ohio
Urbana, Ohio is a small city in Champaign County known for its historic downtown, role as the county seat, and proximity to both Dayton and Springfield in southwestern Ohio.
-
D.
Orrville, Ohio
Orrville, Ohio is a small city in Wayne County best known as the longtime headquarters of The J.M. Smucker Company.
-
E.
Woodstock, Ohio
Woodstock, Ohio is a small rural village located in central Ohio within Champaign County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182996ee08190ab74014ee7ecac2b |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.