Triple
T19388324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purmerend |
E484991
|
entity |
| Predicate | notablePersonBornHere |
P12823
|
FINISHED |
| Object | Monique van de Ven |
—
|
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: Monique van de Ven | Statement: [Purmerend, notablePersonBornHere, Monique van de Ven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monique van de Ven Context triple: [Purmerend, notablePersonBornHere, Monique van de Ven]
-
A.
Monique van de Ven
chosen
Monique van de Ven is a prominent Dutch actress and director known for her leading roles in influential Dutch films such as "Turkish Delight" and "The Assault."
-
B.
Monique Peer
Monique Peer is known as the spouse of influential American music producer and talent scout Ralph Peer.
-
C.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
D.
Denise van der Garde
Denise van der Garde is known as the wife of Dutch racing driver Giedo van der Garde and is a public figure occasionally seen in the international motorsport scene.
-
E.
Maria van den Boogaard
Maria van den Boogaard was the wife of Dutch politician and former Prime Minister Louis Beel.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.