Triple
T20973717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelsonville, Ohio |
E516569
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Hugh Nelson |
—
|
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: Hugh Nelson | Statement: [Nelsonville, Ohio, namedAfter, Hugh Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Nelson Context triple: [Nelsonville, Ohio, namedAfter, Hugh Nelson]
-
A.
Hugh Nelson
Hugh Nelson was a 19th-century Canadian politician and businessman who served as one of the first senators for British Columbia after Confederation.
-
B.
Hugh Nelson
Hugh Nelson was a late 19th-century Australian politician who served as Premier of Queensland and later held senior roles in both state and federal politics.
-
C.
Hugh Nelson
chosen
Hugh Nelson was a prominent Virginia landowner and politician associated with the historic Long Branch estate.
-
D.
Hugh Baird
Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
-
E.
John Kelso
John Kelso is a real-life Savannah journalist and social columnist who appears as a sharp-tongued, observant character in John Berendt’s nonfiction book "Midnight in the Garden of Good and Evil."
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba2406c8190bd75dec585c14bfa |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:45 p.m.