Triple
T23013251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CART |
E572961
|
entity |
| Predicate | notableDrivers |
P7128
|
FINISHED |
| Object | Al Unser 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: Al Unser Jr. | Statement: [CART, notableDrivers, Al Unser Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Unser Jr. Context triple: [CART, notableDrivers, Al Unser Jr.]
-
A.
Al Unser Jr.
chosen
Al Unser Jr. is an American former race car driver and two-time Indianapolis 500 winner known as one of the top IndyCar competitors of the late 20th century.
-
B.
Randall Sommer
Randall Sommer is an American attorney and former actor best known as the husband of actress Marin Hinkle.
-
C.
John Force
John Force is a legendary American NHRA drag racer and multiple-time Funny Car champion widely regarded as one of the greatest in the sport’s history.
-
D.
Tim Rasmussen
Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
-
E.
Michael Andretti
Michael Andretti is an American former racing driver and current team owner, best known as one of IndyCar’s winningest drivers and a leading figure in open-wheel motorsport.
- 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.