Triple
T17726935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maude Wetmore |
E442486
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wetmore |
—
|
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: Wetmore | Statement: [Maude Wetmore, familyName, Wetmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wetmore Context triple: [Maude Wetmore, familyName, Wetmore]
-
A.
Wetmore
chosen
Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
-
B.
Wagler
Wagler is a German surname most notably associated with Johann Georg Wagler, a 19th-century zoologist and herpetologist.
-
C.
Al Hibbler
Al Hibbler was an American baritone jazz and pop singer best known for his work with Duke Ellington’s orchestra and his hit recordings in the 1940s and 1950s.
-
D.
Cuvier Grover
Cuvier Grover was a Union Army general during the American Civil War, noted for his leadership in several major campaigns and battles.
-
E.
Sibley
Sibley is a surname most notably associated with Henry Hastings Sibley, an early political and military leader in Minnesota history.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e25a80819096289fba4ecb227f |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.