Triple
T35402619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Dennis Alan Hamlin |
E1023274
|
entity |
| Predicate | driverForTeam |
P108985
|
FINISHED |
| Object | Joe Gibbs Racing |
—
|
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: Joe Gibbs Racing | Statement: [James Dennis Alan Hamlin, driverForTeam, Joe Gibbs Racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driverForTeam Context triple: [James Dennis Alan Hamlin, driverForTeam, Joe Gibbs Racing]
-
A.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
-
B.
driverFor
chosen
Indicates that one entity serves as the driver or operator of a vehicle or transport service for another entity.
-
C.
featuresDrivers
Indicates that something includes or highlights specific drivers as notable components or participants.
-
D.
teamOwnerForDriver
Indicates that a team is the owning or employing organization responsible for a specific driver.
-
E.
manufacturerTeamFor
Indicates a relationship where a specific team is responsible for manufacturing or producing a particular product or item.
- F. None of above.
Provenance (3 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:03 p.m.