Triple
T22401335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 World 600 |
E553767
|
entity |
| Predicate | mostLapsLedDriver |
P146461
|
FINISHED |
| Object | Neil Bonnett |
—
|
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: Neil Bonnett | Statement: [1982 World 600, mostLapsLedDriver, Neil Bonnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Bonnett Context triple: [1982 World 600, mostLapsLedDriver, Neil Bonnett]
-
A.
Neil Bonnett
chosen
Neil Bonnett was an American NASCAR driver and member of the famed "Alabama Gang," known for his multiple Cup Series victories during the 1970s and 1980s.
-
B.
Tom Drysdale
Tom Drysdale is a notable individual recognized as a prominent bearer of the Drysdale surname.
-
C.
Ben Luckett
Ben Luckett is the elderly, life-weary yet ultimately rejuvenated protagonist of the 1985 science-fiction film "Cocoon," who discovers renewed vitality after encountering alien-infused waters.
-
D.
Tim Rasmussen
Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
-
E.
Terry Labonte
Terry Labonte is an American former NASCAR driver and two-time Cup Series champion known for his consistency and longevity in the sport.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.