Triple
T26461757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Gasly |
E665656
|
entity |
| Predicate | formerRedBullJuniorDriver |
P184354
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Pierre Gasly, formerRedBullJuniorDriver, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRedBullJuniorDriver Context triple: [Pierre Gasly, formerRedBullJuniorDriver, true]
-
A.
wasFerrariYoungDriver
Indicates that a person participated in Ferrari’s young driver program or was officially recognized as a Ferrari young driver.
-
B.
racingDriver
Indicates that one entity is a racing driver, i.e., a person who competes in motor races as a driver.
-
C.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
-
D.
youngestWorldDriversChampionAtTime
Indicates that, at the specified time, the person held the record as the youngest Formula 1 World Drivers' Champion.
-
E.
replacedDriverAtRedBull
Indicates that one driver took over another driver's race seat or role at the Red Bull Formula 1 team.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: April 27, 2026, 12:13 a.m.