Triple
T18416019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Julius Kelp |
E441891
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Bill Richmond |
—
|
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: Bill Richmond | Statement: [Professor Julius Kelp, creator, Bill Richmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Richmond Context triple: [Professor Julius Kelp, creator, Bill Richmond]
-
A.
Bill Richmond
chosen
Bill Richmond was an American comedy writer best known for co-writing several Jerry Lewis films and contributing to classic television shows like The Carol Burnett Show.
-
B.
John Dwan
John Dwan was an American businessman best known as one of the original founders of the multinational conglomerate 3M.
-
C.
James Naismith
James Naismith was a Canadian physical educator and coach best known as the inventor of the game of basketball in 1891.
-
D.
Tony Hinkle
Tony Hinkle was a legendary American coach and innovator in college basketball, best known for his long and influential tenure at Butler University and for helping popularize the orange basketball.
-
E.
Sherman Bagley
Sherman Bagley is the son of Vivian Bagley, a character from the classic television series "The Lucy Show."
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a278fdc8190aa81a2ade682d942 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.