Triple
T12993519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Achterhuis |
E321973
|
entity |
| Predicate | hasNotableCharacter |
P7927
|
FINISHED |
| Object | Bep Voskuijl |
E64316
|
NE 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: Bep Voskuijl | Statement: [Het Achterhuis, hasNotableCharacter, Bep Voskuijl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bep Voskuijl Context triple: [Het Achterhuis, hasNotableCharacter, Bep Voskuijl]
-
A.
Bep Voskuijl
chosen
Bep Voskuijl was a Dutch office worker who helped hide Anne Frank and her family during World War II by providing food, supplies, and support to those in the Secret Annex.
-
B.
Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
-
C.
Piet Keizer
Piet Keizer was a renowned Dutch footballer, best known as a skillful left winger for Ajax and the Netherlands national team during the late 1960s and early 1970s.
-
D.
Jurriaan de Jonge
Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
-
E.
Piet Klijnveld
Piet Klijnveld was a Dutch accountant and entrepreneur who co-founded the international professional services firm that later became part of KPMG.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7877f481908a03f1077600e58a |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7265d09d881909c21423d93af39cd |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 8:44 p.m.