Triple
T19973223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Helwig Wyant |
E480130
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Alexander Helwig Wyant |
—
|
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: Alexander Helwig Wyant | Statement: [Alexander Helwig Wyant, fullName, Alexander Helwig Wyant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Helwig Wyant Context triple: [Alexander Helwig Wyant, fullName, Alexander Helwig Wyant]
-
A.
Alexander Helwig Wyant
chosen
Alexander Helwig Wyant was a 19th-century American landscape painter known for his atmospheric, poetic style that helped shape the Tonalist movement.
-
B.
George H. Dickey
George H. Dickey was an American politician after whom Dickey County in North Dakota was named.
-
C.
Allan Nunn May
Allan Nunn May was a British physicist who became one of the first and most significant atomic spies, passing nuclear secrets from the UK to the Soviet Union during and after World War II.
-
D.
Will M. Ritchey
Will M. Ritchey was an early 20th-century American screenwriter active during the silent film era.
-
E.
Edward M. Wright
Edward M. Wright was a British mathematician best known as the co-author, with G. H. Hardy, of the classic textbook "An Introduction to the Theory of Numbers."
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bca94c0819095c902a411c4c4b8 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.