Triple
T17723610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Verstappen |
E442402
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Verstappen |
—
|
NE NERFINISHED |
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: Verstappen | Statement: [Max Verstappen, familyName, Verstappen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verstappen Context triple: [Max Verstappen, familyName, Verstappen]
-
A.
Max Verstappen
chosen
Max Verstappen is a Dutch Formula 1 driver for Red Bull Racing, known for his aggressive driving style and multiple World Drivers’ Championship titles.
-
B.
Ricciardo
Ricciardo is an Italian given name, historically borne by figures such as Ricciardo Cervini.
-
C.
Leclerc
Leclerc is a French surname borne by various notable figures in history, politics, and the arts.
-
D.
Leclerc
Leclerc is the commonly used name for Philippe Leclerc de Hauteclocque, a renowned French general and key Free French commander during World War II.
-
E.
Leclerc
Leclerc is the family name of Georges-Louis Leclerc, Comte de Buffon, an influential 18th-century French naturalist and mathematician known for his extensive work on natural history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748900608190bf5ba04415edaffc |
completed | April 19, 2026, 6:22 a.m. |
Created at: April 10, 2026, 10:07 a.m.