Triple
T22270190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricardo Rodríguez |
E550453
|
entity |
| Predicate | youngestDriverToStartItalianGrandPrixAtTheTime |
P128734
|
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: [Ricardo Rodríguez, youngestDriverToStartItalianGrandPrixAtTheTime, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngestDriverToStartItalianGrandPrixAtTheTime Context triple: [Ricardo Rodríguez, youngestDriverToStartItalianGrandPrixAtTheTime, true]
-
A.
youngestWorldDriversChampionAtTime
Indicates that, at the specified time, the person held the record as the youngest Formula 1 World Drivers' Champion.
-
B.
youngestPoleSitterAtTime
chosen
Indicates that the subject is the youngest driver ever to have started a race from pole position at the specified time.
-
C.
becameYoungestF1Driver
Indicates that a person achieved the status of being the youngest driver ever to compete in a Formula 1 race at that time.
-
D.
ageAtF1Debut
Indicates the age a driver was when they made their debut in Formula 1.
-
E.
becameYoungestGrandPrixWinner
Indicates that one entity achieved the status of being the youngest winner of a Grand Prix event relative to all previous winners.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bf53a481909e2c79de4144f332 |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.