Triple
T21359605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garnett, Kansas |
E526734
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object | Arthur Capper |
—
|
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: Arthur Capper | Statement: [Garnett, Kansas, hasNotablePerson, Arthur Capper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Capper Context triple: [Garnett, Kansas, hasNotablePerson, Arthur Capper]
-
A.
Arthur Capper
chosen
Arthur Capper was an American politician and newspaper publisher who served as governor of Kansas and later as a U.S. senator.
-
B.
William Capper
William Capper is a relatively obscure individual whose name is notably recorded as a bearer of the surname Capper.
-
C.
William Vernon Harcourt
William Vernon Harcourt was a prominent 19th-century British Liberal politician and lawyer who served as Home Secretary and twice as Chancellor of the Exchequer.
-
D.
George Basevi
George Basevi was a 19th-century British architect known for his work in the neoclassical style, including prominent London squares and churches.
-
E.
Christopher Charles Haywood
Christopher Charles Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:07 p.m.