Triple
T6172699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRL |
E137740
|
entity |
| Predicate | notableDrivers |
P7128
|
FINISHED |
| Object |
Dan Wheldon
Dan Wheldon was a British racing driver best known as a two-time Indianapolis 500 winner and 2005 IndyCar Series champion.
|
E572955
|
NE FINISHED |
How this triple was built (4 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: [IRL, notableDrivers, Dan Wheldon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Wheldon Context triple: [IRL, notableDrivers, Dan Wheldon]
-
A.
Scott Dixon
Scott Dixon is a highly accomplished New Zealand racing driver widely regarded as one of the greatest competitors in IndyCar history.
-
B.
Tim Rasmussen
Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
-
C.
Dana Murray
Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
-
D.
Robert Doornbos
Robert Doornbos is a Dutch former Formula One driver who competed in the mid-2000s, notably racing for teams such as Minardi and Red Bull Racing.
-
E.
Carl Edwards
Carl Edwards is a retired American professional stock car racing driver best known for his success in NASCAR’s top series, including multiple race wins and a reputation for his trademark backflip celebrations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Wheldon Triple: [IRL, notableDrivers, Dan Wheldon]
Generated description
Dan Wheldon was a British racing driver best known as a two-time Indianapolis 500 winner and 2005 IndyCar Series champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Wheldon Target entity description: Dan Wheldon was a British racing driver best known as a two-time Indianapolis 500 winner and 2005 IndyCar Series champion.
-
A.
Scott Dixon
Scott Dixon is a highly accomplished New Zealand racing driver widely regarded as one of the greatest competitors in IndyCar history.
-
B.
Tim Rasmussen
Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
-
C.
Dana Murray
Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
-
D.
Robert Doornbos
Robert Doornbos is a Dutch former Formula One driver who competed in the mid-2000s, notably racing for teams such as Minardi and Red Bull Racing.
-
E.
Carl Edwards
Carl Edwards is a retired American professional stock car racing driver best known for his success in NASCAR’s top series, including multiple race wins and a reputation for his trademark backflip celebrations.
- F. None of above. chosen
Provenance (5 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c060fca4cc8190bf95231cd2a594c1 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141b200788190bd8d968edba53e5f |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c148476d2481909da6cebc4f0422e2 |
completed | March 23, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c148c2be64819099170df84a904eb9 |
completed | March 23, 2026, 2:05 p.m. |
Created at: March 22, 2026, 4:18 p.m.