Triple
T19222980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haselhurst |
E480664
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Hazlehurst |
—
|
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: Hazlehurst | Statement: [Haselhurst, hasSpellingVariant, Hazlehurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazlehurst Context triple: [Haselhurst, hasSpellingVariant, Hazlehurst]
-
A.
Hazlehurst
chosen
Hazlehurst is an English surname most notably associated with Ronnie Hazlehurst, a prominent British television theme music composer.
-
B.
Hazlehurst, Georgia
Hazlehurst, Georgia is a small city in southeastern Georgia known as the primary commercial and administrative center of Jeff Davis County.
-
C.
Hazlehurst, Mississippi
Hazlehurst, Mississippi is a small city in Copiah County known for its historic downtown, railroad heritage, and role as a regional hub in central Mississippi.
-
D.
Fort Payne
Fort Payne is a small city in northeastern Alabama known for its scenic Appalachian setting and historic role in the Cherokee Nation and the Trail of Tears.
-
E.
Hainesville
Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa94aed081909045cfed8edc6039 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:24 p.m.