Triple
T16064394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Kaznyk |
E389694
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Lillian, Ohio |
E1188987
|
NE 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: Lillian, Ohio | Statement: [Charles Kaznyk, setting, Lillian, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lillian, Ohio Context triple: [Charles Kaznyk, setting, Lillian, Ohio]
-
A.
Lillian, Ohio
chosen
Lillian, Ohio is a small community in the state of Ohio, United States.
-
B.
Lindsey, Ohio
Lindsey, Ohio is a small rural community located in Sandusky County in northwestern Ohio.
-
C.
Limaville, Ohio
Limaville, Ohio is a small unincorporated community and census-designated place located in northeastern Ohio within Stark County.
-
D.
Helena, Ohio
Helena, Ohio is a small unincorporated community located in Sandusky County in northwestern Ohio.
-
E.
Lowellville, Ohio
Lowellville, Ohio is a small village in northeastern Ohio that lies within the Youngstown metropolitan area and has historically been tied to the region’s steel and manufacturing industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837b048881908326739bbede756f |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ef6648190bf1fe216e78ef660 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.