Triple
T20791471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilthoven |
E511786
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object | Jeroen Pauw |
—
|
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: Jeroen Pauw | Statement: [Bilthoven, hasNotablePerson, Jeroen Pauw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeroen Pauw Context triple: [Bilthoven, hasNotablePerson, Jeroen Pauw]
-
A.
Jeroen Pauw
chosen
Jeroen Pauw is a Dutch television presenter and journalist best known for hosting high-profile talk shows and current affairs programs in the Netherlands.
-
B.
Daniël Stalpaert
Daniël Stalpaert was a 17th-century Dutch architect and city planner known for his influential role in shaping Amsterdam’s urban landscape.
-
C.
Michiel Pauw
Michiel Pauw was a 17th-century Dutch merchant and director of the Dutch West India Company who played a key role in the early colonization of what is now New York and New Jersey.
-
D.
Bart De Wever
Bart De Wever is a prominent Belgian politician known as a leading figure of Flemish nationalism and a key power broker in contemporary Belgian politics.
-
E.
Jef Houben
Jef Houben is a Belgian former professional footballer known for playing as a defender, notably with K.R.C. Genk.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2910d488190bc4be37512effc86 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.