Triple
T23197357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1979 Southeastern 500 |
E579907
|
entity |
| Predicate | firstCareerWinForDriver |
P105798
|
FINISHED |
| Object | Dale Earnhardt |
—
|
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: Dale Earnhardt | Statement: [1979 Southeastern 500, firstCareerWinForDriver, Dale Earnhardt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCareerWinForDriver Context triple: [1979 Southeastern 500, firstCareerWinForDriver, Dale Earnhardt]
-
A.
firstIndyCarWin
Indicates that the subject achieved their first victory in an IndyCar race.
-
B.
firstNASCARCupSeriesWin
chosen
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
C.
firstWRCWin
Indicates the event or instance in which an entity achieves its first victory in a World Rally Championship (WRC) competition.
-
D.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
E.
ageAtFirstFormulaOneWin
Indicates the age a person was when they achieved their first Formula One race victory.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdc0b8081909242fdc5cb1da517 |
completed | April 29, 2026, 4:58 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:06 p.m.