Triple
T16316487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittany S. Pierce |
E396183
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object | Lima, 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: Lima, Ohio | Statement: [Brittany S. Pierce, residesIn, Lima, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima, Ohio Context triple: [Brittany S. Pierce, residesIn, Lima, Ohio]
-
A.
Lima, Ohio
chosen
Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
-
B.
Limaville, Ohio
Limaville, Ohio is a small unincorporated community and census-designated place located in northeastern Ohio within Stark County.
-
C.
Lisbon, Ohio
Lisbon, Ohio is a small historic village in northeastern Ohio known for being one of the state's earliest settled communities and a center of local government and commerce in Columbiana County.
-
D.
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
-
E.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b1e9988190a1dce9f1ed7031df |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:06 a.m.