Triple
T1408888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernwood 2 Night |
E31758
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Fernwood, Ohio |
E210312
|
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: Fernwood, Ohio | Statement: [Fernwood 2 Night, setIn, Fernwood, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernwood, Ohio Context triple: [Fernwood 2 Night, setIn, Fernwood, Ohio]
-
A.
Fernwood, Ohio
chosen
Fernwood, Ohio is the fictional small-town setting of the satirical 1970s television series "Mary Hartman, Mary Hartman."
-
B.
Bellefontaine, Ohio
Bellefontaine, Ohio is a small city in Logan County known historically as a regional railroad hub and for having one of the first concrete-paved streets in the United States.
-
C.
Riverside, Ohio
Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Norwood, Ohio
Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
-
E.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3c10f44819085e1c4601423740d |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ae387c8190b72ca26ab81a53b6 |
completed | March 8, 2026, 10:09 p.m. |
Created at: March 1, 2026, 7:59 p.m.