Triple
T17008328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale Earnhardt Jr. |
E412630
|
entity |
| Predicate | bestCupSeriesPointsFinishYear |
P66694
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Dale Earnhardt Jr., bestCupSeriesPointsFinishYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestCupSeriesPointsFinishYear Context triple: [Dale Earnhardt Jr., bestCupSeriesPointsFinishYear, 2003]
-
A.
bestCupSeasonPointsYear
chosen
Indicates the year in which an entity achieved its highest total of Cup season points.
-
B.
lastCupSeriesRaceYear
Indicates the year in which the entity most recently participated in a Cup Series race.
-
C.
NASCARCupSeriesBestPointsFinishSeason
Indicates the season in which an entity achieved its highest-ever points finish in the NASCAR Cup Series standings.
-
D.
bestSeasonResultYear
Indicates the year in which an entity achieved its best season result.
-
E.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3853f548190910240a2145cc890 |
completed | April 18, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.