Triple
T23012899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andretti Green Racing |
E572954
|
entity |
| Predicate | notableDriver |
P2087
|
FINISHED |
| Object | Dan Wheldon |
—
|
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: Dan Wheldon | Statement: [Andretti Green Racing, notableDriver, Dan Wheldon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Wheldon Context triple: [Andretti Green Racing, notableDriver, Dan Wheldon]
-
A.
Dan Wheldon
chosen
Dan Wheldon was a British racing driver best known as a two-time Indianapolis 500 winner and 2005 IndyCar Series champion.
-
B.
Tony Kanaan
Tony Kanaan is a Brazilian racing driver best known as an IndyCar Series champion and Indianapolis 500 winner.
-
C.
Marcos Ambrose
Marcos Ambrose is an Australian former professional racing driver best known for his success in V8 Supercars and as a multi-race winner in NASCAR’s top series.
-
D.
Scott Dixon
Scott Dixon is a highly accomplished New Zealand racing driver widely regarded as one of the greatest competitors in IndyCar history.
-
E.
Dario Franchitti
Dario Franchitti is a Scottish former racing driver best known as a multiple IndyCar Series champion and three-time Indianapolis 500 winner.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
Created at: April 17, 2026, 3:51 p.m.