Triple
T37384889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panther Racing |
E928539
|
entity |
| Predicate | wonChampionshipWithDriver |
P120079
|
FINISHED |
| Object | Sam Hornish Jr. |
—
|
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: Sam Hornish Jr. | Statement: [Panther Racing, wonChampionshipWithDriver, Sam Hornish Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonChampionshipWithDriver Context triple: [Panther Racing, wonChampionshipWithDriver, Sam Hornish Jr.]
-
A.
wonDriversTitleWithDriver
chosen
Indicates that a team or entity secured a drivers’ championship title in association with a specific driver.
-
B.
wonDriversTitleFor
Indicates that one entity secured the drivers’ championship title while competing for, or representing, another entity.
-
C.
wonDriversTitleIn
Indicates that a driver secured the drivers’ championship title in a specified competition or season.
-
D.
driversChampionshipWin
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
E.
constructorChampionshipWin
Indicates that a constructor (team) has won a championship title in a given competition or season.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.