Triple
T23623545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Fisher Hartman Racing |
E583392
|
entity |
| Predicate | formerDriverOwner |
P153315
|
FINISHED |
| Object | Sarah Fisher |
—
|
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: Sarah Fisher | Statement: [Sarah Fisher Hartman Racing, formerDriverOwner, Sarah Fisher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerDriverOwner Context triple: [Sarah Fisher Hartman Racing, formerDriverOwner, Sarah Fisher]
-
A.
hasFormerDriver
Indicates that an entity previously served as a driver for another entity but no longer holds that role.
-
B.
alsoAssociatedWithDriver
Indicates that an entity has an additional or secondary association with a specified driver, beyond any primary or previously stated driver relationship.
-
C.
associatedWithDriver
Indicates that one entity has a connection or relationship with a specific driver, such as being linked, assigned, or otherwise related to that driver.
-
D.
teamOwnerForDriver
Indicates that a team is the owning or employing organization responsible for a specific driver.
-
E.
possibleDriver
Indicates that an entity is a candidate or potential driver of another entity, such as a possible cause, regulator, or influencing factor.
- F. None of above. chosen
Provenance (4 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17ae58c8190b7b6cdc57c6ead3a |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:46 p.m.