Triple
T17857526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiansburg, Virginia |
E445979
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | William Christian |
—
|
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: William Christian | Statement: [Christiansburg, Virginia, namedAfter, William Christian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Christian Context triple: [Christiansburg, Virginia, namedAfter, William Christian]
-
A.
William Christian
chosen
William Christian was an American Revolutionary War officer and early Kentucky pioneer after whom Christian County, Kentucky, is named.
-
B.
Christian Henry
Christian Henry of Brunswick-Lüneburg was a German nobleman from the House of Welf associated with the historical Duchy of Brunswick-Lüneburg.
-
C.
John Christian
John Christian was a dancer known for his involvement with Ted Shawn and His Men Dancers, an influential all-male modern dance company in early 20th-century America.
-
D.
John Christian
John Christian was a German nobleman who served as Count Palatine of Sulzbach in the early 18th century.
-
E.
William Charles
William Charles is the given name of William Charles Macready, a prominent 19th-century English actor and theatre manager.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978d05708190838386d37eb157bc |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.