Triple
T25467280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alain Prost |
E638209
|
entity |
| Predicate | retiredFromFormulaOneAsDriver |
P120072
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Alain Prost, retiredFromFormulaOneAsDriver, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromFormulaOneAsDriver Context triple: [Alain Prost, retiredFromFormulaOneAsDriver, 1993]
-
A.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
-
B.
activeInFormulaOneUntil
chosen
Indicates that an entity participated as an active competitor in Formula One up to and including a specified end time or season.
-
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.
retiredAsPlayerFrom
Indicates that an individual ended their professional playing career while being associated with a specific team, organization, or context.
-
E.
retiredFromSidelines
Indicates that an entity has ended its role or involvement from a previously inactive, observing, or non-participatory position in a given context.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f74e449c8190afaa3c05496ed598 |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:15 p.m.