Triple
T15842931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markus Winkelhock |
E384140
|
entity |
| Predicate | FormulaOneStarts |
P52122
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Markus Winkelhock, FormulaOneStarts, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FormulaOneStarts Context triple: [Markus Winkelhock, FormulaOneStarts, 1]
-
A.
totalFormulaOneStarts
chosen
Indicates the total number of times an entity has started in Formula One races.
-
B.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
C.
enteredFormulaOne
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
-
D.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
E.
NASCARCupStarts
Indicates the number of times an entity has started or participated in NASCAR Cup Series races.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.