Triple
T5847923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Bonnett |
E129756
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Red Farmer |
E121414
|
NE FINISHED |
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: Red Farmer | Statement: [Neil Bonnett, associatedWith, Red Farmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Farmer Context triple: [Neil Bonnett, associatedWith, Red Farmer]
-
A.
Red Farmer
chosen
Red Farmer is an American stock car racing driver and longtime NASCAR competitor known as one of the sport’s early stars and a member of the Alabama Gang.
-
B.
Farmer
Farmer is a common English occupational surname originally given to people who worked in agriculture or collected taxes on farmed land.
-
C.
Rural Rube
Rural Rube was a legendary American racing greyhound renowned for his exceptional speed and dominance on the track.
-
D.
Mr. Cowboy
Mr. Cowboy is the nickname of Bob Lilly, a Hall of Fame defensive tackle renowned as one of the greatest players in Dallas Cowboys history.
-
E.
Pecos Bill
Pecos Bill is a legendary cowboy folk hero of the American West, popularized in tall tales and later adapted in various media as an exaggerated symbol of frontier bravado and humor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03512d3548190920ac882189500d9 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1ad4d888190b4a1e605887b2e2c |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.