Triple
T19830054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal South Records |
E476433
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object | Blue County |
—
|
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: Blue County | Statement: [Universal South Records, signedArtist, Blue County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue County Context triple: [Universal South Records, signedArtist, Blue County]
-
A.
Blue County
chosen
Blue County is an American country music duo known for their harmony-driven sound and early 2000s hits on the country charts.
-
B.
Blanco County
Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
-
C.
Van Zandt County
Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
-
D.
White County
White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
-
E.
Llano County
Llano County is a rural county in central Texas known for its scenic Hill Country landscapes, granite outcrops, and outdoor recreation around lakes and rivers.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.