Triple
T25015667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Neil Bonnett |
E626122
|
entity |
| Predicate | totalNASCARWinstonCupPoles |
P57362
|
FINISHED |
| Object | 20 |
—
|
LITERAL 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: 20 | Statement: [Lawrence Neil Bonnett, totalNASCARWinstonCupPoles, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNASCARWinstonCupPoles Context triple: [Lawrence Neil Bonnett, totalNASCARWinstonCupPoles, 20]
-
A.
NASCARCupSeriesPoles
Indicates the number of times an entity has earned the pole position (fastest qualifying spot) in NASCAR Cup Series races.
-
B.
NASCARCupPoles
Indicates that a subject has achieved one or more pole positions (fastest qualifying times earning the first starting spot) in NASCAR Cup Series races.
-
C.
NASCARXfinitySeriesPoles
Indicates that one entity has achieved pole position(s) in NASCAR Xfinity Series races associated with another entity (such as a driver, team, or event).
-
D.
totalNASCARWins
Indicates the total number of NASCAR race victories achieved by an entity.
-
E.
totalPolePositions
chosen
Indicates the total number of times an entity has achieved pole position in qualifying or starting order across all relevant events.
- 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_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:06 a.m.