Triple
T18684941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everts |
E456832
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Stefan Everts |
—
|
NE NERFINISHED |
How this triple was built (3 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: Stefan Everts | Statement: [Everts, hasNotableBearer, Stefan Everts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Everts Context triple: [Everts, hasNotableBearer, Stefan Everts]
-
A.
Daan Wierstra
Daan Wierstra is a machine learning researcher known for his contributions to deep reinforcement learning, including co-authoring the influential Atari deep Q-network work at DeepMind.
-
B.
Stefan Scholten
Stefan Scholten is a Dutch industrial designer best known as co-founder of the influential design studio Scholten & Baijings, recognized for its distinctive use of color, pattern, and minimal forms.
-
C.
Nico van der Lely
Nico van der Lely is a Dutch pediatrician known for his work on alcohol prevention and treatment among young people in the Netherlands.
-
D.
David van der Poel
David van der Poel is a Dutch professional cyclist known for his achievements in cyclo-cross and road racing, and as the brother of world champion Mathieu van der Poel.
-
E.
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Everts Target entity description: Stefan Everts is a Belgian former professional motocross racer widely regarded as one of the greatest in the sport’s history, holding multiple world championship titles.
-
A.
Daan Wierstra
Daan Wierstra is a machine learning researcher known for his contributions to deep reinforcement learning, including co-authoring the influential Atari deep Q-network work at DeepMind.
-
B.
Stefan Scholten
Stefan Scholten is a Dutch industrial designer best known as co-founder of the influential design studio Scholten & Baijings, recognized for its distinctive use of color, pattern, and minimal forms.
-
C.
Nico van der Lely
Nico van der Lely is a Dutch pediatrician known for his work on alcohol prevention and treatment among young people in the Netherlands.
-
D.
David van der Poel
David van der Poel is a Dutch professional cyclist known for his achievements in cyclo-cross and road racing, and as the brother of world champion Mathieu van der Poel.
-
E.
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
- F. None of above. chosen
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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2c58188190b906c9ab080a76ff |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.