Triple
T13101187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Johnson |
E310720
|
entity |
| Predicate | totalNASCARCupWinsAsDriver |
P90811
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Junior Johnson, totalNASCARCupWinsAsDriver, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNASCARCupWinsAsDriver Context triple: [Junior Johnson, totalNASCARCupWinsAsDriver, 50]
-
A.
NASCARCupSeriesWins
chosen
Indicates the number of NASCAR Cup Series races that a given driver, team, or entity has won.
-
B.
NASCARTruckSeriesWins
Indicates the number of race victories an entity has achieved in NASCAR Truck Series competitions.
-
C.
NASCARXfinitySeriesWins
Indicates the number of races a driver has won in the NASCAR Xfinity Series.
-
D.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
E.
Daytona500Wins
Indicates that the subject has won the Daytona 500 race the specified number of times or in the specified instances.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:04 p.m.