Triple
T13128785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 20 car in NASCAR Cup Series |
E311912
|
entity |
| Predicate | hasNotableDriver |
P108206
|
FINISHED |
| Object |
Erik Darnell
Erik Darnell is an American stock car racing driver known for competing in NASCAR’s national series, including the Cup and Truck Series.
|
E1023266
|
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: Erik Darnell | Statement: [No. 20 car in NASCAR Cup Series, hasNotableDriver, Erik Darnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Darnell Context triple: [No. 20 car in NASCAR Cup Series, hasNotableDriver, Erik Darnell]
-
A.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
B.
Erik Rhodes
Erik Rhodes was an American stage and film actor best known for his comedic supporting roles in 1930s Hollywood musicals and comedies.
-
C.
Erik Wilson
Erik Wilson is a British cinematographer known for his visually distinctive work on films such as Paddington 2.
-
D.
Erik Christensen
Erik Christensen is a retired Canadian professional ice hockey centre who played in the NHL for several teams, including the Pittsburgh Penguins and New York Rangers.
-
E.
Brent Erickson
Brent Erickson is a composer and musician known for creating the musical score for the animated short film "Tin Toy."
- 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: Erik Darnell Triple: [No. 20 car in NASCAR Cup Series, hasNotableDriver, Erik Darnell]
Generated description
Erik Darnell is an American stock car racing driver known for competing in NASCAR’s national series, including the Cup and Truck Series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Darnell Target entity description: Erik Darnell is an American stock car racing driver known for competing in NASCAR’s national series, including the Cup and Truck Series.
-
A.
Greg Eklund
Greg Eklund is an American drummer best known for his work with the alternative rock band Everclear.
-
B.
Erik Rhodes
Erik Rhodes was an American stage and film actor best known for his comedic supporting roles in 1930s Hollywood musicals and comedies.
-
C.
Erik Wilson
Erik Wilson is a British cinematographer known for his visually distinctive work on films such as Paddington 2.
-
D.
Erik Christensen
Erik Christensen is a retired Canadian professional ice hockey centre who played in the NHL for several teams, including the Pittsburgh Penguins and New York Rangers.
-
E.
Brent Erickson
Brent Erickson is a composer and musician known for creating the musical score for the animated short film "Tin Toy."
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28e922881909584296adc95d9b4 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e6d4aedc819090e6433600db4b31 |
completed | May 3, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e79e40bc8190bcf72d719d4e88dd |
completed | May 3, 2026, 6:13 a.m. |
Created at: April 9, 2026, 9:07 p.m.