Triple
T32821871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marino Grand Prix |
E839453
|
entity |
| Predicate | mostAssociatedDriver |
P103677
|
FINISHED |
| Object | Ayrton Senna |
—
|
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: Ayrton Senna | Statement: [San Marino Grand Prix, mostAssociatedDriver, Ayrton Senna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAssociatedDriver Context triple: [San Marino Grand Prix, mostAssociatedDriver, Ayrton Senna]
-
A.
alsoAssociatedWithDriver
Indicates that an entity has an additional or secondary association with a specified driver, beyond any primary or previously stated driver relationship.
-
B.
associatedWithDriver
chosen
Indicates that one entity has a connection or relationship with a specific driver, such as being linked, assigned, or otherwise related to that driver.
-
C.
bestDriver
Indicates that the subject is considered the most skilled or highest-performing driver within a specified group or context.
-
D.
hasPrimaryDriver
Indicates that an entity is designated as the main or principal driver responsible for operating another entity, typically a vehicle.
-
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.
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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.