Triple
T23090912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahal Letterman Racing |
E575745
|
entity |
| Predicate | fieldedDriver |
P23932
|
FINISHED |
| Object | Scott Sharp |
—
|
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: Scott Sharp | Statement: [Rahal Letterman Racing, fieldedDriver, Scott Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Sharp Context triple: [Rahal Letterman Racing, fieldedDriver, Scott Sharp]
-
A.
Scott Sharp
chosen
Scott Sharp is an American former race car driver best known for competing in the IndyCar Series and winning the 1996 Indy Racing League co-championship.
-
B.
Buddy Rice
Buddy Rice is an American racing driver best known for winning the 2004 Indianapolis 500.
-
C.
Sterling Marlin
Sterling Marlin is an American former NASCAR driver best known for winning back-to-back Daytona 500s in the mid-1990s.
-
D.
Justin Barber
Justin Barber is a film producer known for his work on the independent romantic drama "Medicine for Melancholy."
-
E.
Justin Barber
Justin Barber is a fictional character from the soap opera "The Bold and the Beautiful," known as a savvy attorney and loyal right-hand man to media mogul Bill Spencer Jr.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da99bec81908ecadf8dab10d1b7 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.