Triple
T17404324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Waltrip |
E423173
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Waltrip |
—
|
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: Waltrip | Statement: [Michael Waltrip, familyName, Waltrip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waltrip Context triple: [Michael Waltrip, familyName, Waltrip]
-
A.
Waltrip
chosen
Waltrip is the surname of a prominent American racing family best known for NASCAR champions Darrell and Michael Waltrip.
-
B.
Lamar Trotti
Lamar Trotti was an American screenwriter and producer best known for his work on classic Hollywood films of the 1930s and 1940s, including several major 20th Century Fox productions.
-
C.
Jefferson Dutton
Jefferson Dutton is a musician and composer known for creating the music for the film "Detention."
-
D.
Buescher
Buescher is a surname most prominently associated with American stock car racing driver Chris Buescher.
-
E.
Darrell Waltrip Motorsports
Darrell Waltrip Motorsports was a NASCAR racing team owned and operated by Hall of Fame driver Darrell Waltrip that competed primarily in the 1990s and early 2000s.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b068248819088871d79f8a38f30 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.