Triple
T15784246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Harvick |
E382694
|
entity |
| Predicate | Southern500WinYear |
P31224
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Kevin Harvick, Southern500WinYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Southern500WinYear Context triple: [Kevin Harvick, Southern500WinYear, 2014]
-
A.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
seasonOf50In50
Indicates that one entity is the season in which the other entity achieved a 50-in-50 milestone (such as scoring 50 goals in 50 games).
-
C.
NASCARCupSeriesBestPointsFinishSeason
Indicates the season in which an entity achieved its highest-ever points finish in the NASCAR Cup Series standings.
-
D.
NASCARCupSeriesBestPointsFinish
Indicates the highest (best) overall points standing a driver has ever achieved in the NASCAR Cup Series.
-
E.
wonIndianapolis500InYear
Indicates that the subject achieved victory in the Indianapolis 500 automobile race in the specified year.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.