Triple
T24365014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules Bianchi |
E614169
|
entity |
| Predicate | wasFerrariYoungDriver |
P155930
|
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: [Jules Bianchi, wasFerrariYoungDriver, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFerrariYoungDriver Context triple: [Jules Bianchi, wasFerrariYoungDriver, true]
-
A.
becameYoungestF1Driver
Indicates that a person achieved the status of being the youngest driver ever to compete in a Formula 1 race at that time.
-
B.
youngestWorldDriversChampionAtTime
Indicates that, at the specified time, the person held the record as the youngest Formula 1 World Drivers' Champion.
-
C.
ageAtF1Debut
Indicates the age a driver was when they made their debut in Formula 1.
-
D.
madeF1DebutForTeam
Indicates that a driver’s first-ever Formula 1 race appearance was made while competing for the specified team.
-
E.
activeInFormulaOneUntil
Indicates that an entity participated as an active competitor in Formula One up to and including a specified end time or season.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293874f7c8190b472e99640e97f62 |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:01 a.m.