Triple
T18523340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Hutcherson |
E452646
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Union, Kentucky |
—
|
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: Union, Kentucky | Statement: [Michelle Hutcherson, residence, Union, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union, Kentucky Context triple: [Michelle Hutcherson, residence, Union, Kentucky]
-
A.
Union City, Kentucky
Union City, Kentucky is a small community located in Madison County that forms part of the Richmond–Berea micropolitan area.
-
B.
Hardin, Kentucky
Hardin, Kentucky is a small rural city located in Marshall County in western Kentucky.
-
C.
Union, Kentucky, United States
chosen
Union, Kentucky, United States is a small suburban city in Boone County that forms part of the greater Cincinnati metropolitan area.
-
D.
Lebanon, Kentucky
Lebanon, Kentucky is a small city in central Kentucky that serves as the county seat of Marion County and is known for its historic downtown and bourbon-related attractions.
-
E.
Liberty, Kentucky
Liberty, Kentucky is a small rural city in south-central Kentucky that serves as the administrative and commercial hub of Casey 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338f6da48190bdb374019d10db05 |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.