Triple
T16318028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell Waltrip |
E396221
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Darrell Lee Waltrip |
E396221
|
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: Darrell Lee Waltrip | Statement: [Darrell Waltrip, fullName, Darrell Lee Waltrip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darrell Lee Waltrip Context triple: [Darrell Waltrip, fullName, Darrell Lee Waltrip]
-
A.
Darrell Waltrip
chosen
Darrell Waltrip is a former NASCAR Cup Series champion who became a prominent television race analyst and commentator.
-
B.
Larry Darrell
Larry Darrell is the spiritually searching World War I veteran protagonist of W. Somerset Maugham’s novel "The Razor’s Edge," known for rejecting conventional success to pursue enlightenment.
-
C.
Pat Gibbs
Pat Gibbs is an American football coach and the father of NASCAR driver Ty Gibbs.
-
D.
Randall McDaniel
Randall McDaniel is a Hall of Fame former NFL guard best known for his dominant play with the Minnesota Vikings during the late 1980s and 1990s.
-
E.
Rob Gibbs
Rob Gibbs was an American storyboard artist, director, and writer best known for his long-time work at Pixar Animation Studios on films and shorts including the Cars franchise.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002606f0e0819081f50dae9e6b7a0d |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.