Triple
T25015677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Neil Bonnett |
E626122
|
entity |
| Predicate | firstNASCARWinstonCupWin |
P105798
|
FINISHED |
| Object | 1977 Capital City 400 |
—
|
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: 1977 Capital City 400 | Statement: [Lawrence Neil Bonnett, firstNASCARWinstonCupWin, 1977 Capital City 400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNASCARWinstonCupWin Context triple: [Lawrence Neil Bonnett, firstNASCARWinstonCupWin, 1977 Capital City 400]
-
A.
firstNASCARCupSeriesWin
chosen
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
B.
totalNASCARWins
Indicates the total number of NASCAR race victories achieved by an entity.
-
C.
NASCARCupSeriesWins
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
D.
firstNASCARBuschSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Busch Series race.
-
E.
firstNASCARTruckSeriesWin
Indicates the event in which an entity achieves its first victory in a NASCAR Truck Series race.
- F. None of above.
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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 18, 2026, 6:06 a.m.