Triple
T22459467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.J. Voskuil |
E555192
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Voskuil
Voskuil is a Dutch surname most notably associated with the writer J.J. Voskuil, known for his extensive autobiographical novels.
|
E1538260
|
NE FINISHED |
How this triple was built (4 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: Voskuil | Statement: [J.J. Voskuil, familyName, Voskuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voskuil Context triple: [J.J. Voskuil, familyName, Voskuil]
-
A.
Voskuijl
Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
-
B.
Viljoen
Viljoen is an Afrikaans-origin surname commonly found in South Africa and Namibia, associated with several notable figures in politics, sports, and the military.
-
C.
Koosje
Koosje is a Dutch diminutive given name, commonly used as a familiar or affectionate form of the name Jacoba.
-
D.
Lingewaal
Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
-
E.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Voskuil Triple: [J.J. Voskuil, familyName, Voskuil]
Generated description
Voskuil is a Dutch surname most notably associated with the writer J.J. Voskuil, known for his extensive autobiographical novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voskuil Target entity description: Voskuil is a Dutch surname most notably associated with the writer J.J. Voskuil, known for his extensive autobiographical novels.
-
A.
Voskuijl
Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
-
B.
Viljoen
Viljoen is an Afrikaans-origin surname commonly found in South Africa and Namibia, associated with several notable figures in politics, sports, and the military.
-
C.
Koosje
Koosje is a Dutch diminutive given name, commonly used as a familiar or affectionate form of the name Jacoba.
-
D.
Lingewaal
Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
-
E.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
- F. None of above. chosen
Provenance (5 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1252beac81908238e7f6eda2c638 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b13cb589081909443d2f48e0384a2 |
completed | May 18, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b14a5f8ec8190bd30684a82cf5b6e |
completed | May 18, 2026, 1:31 p.m. |
Created at: April 16, 2026, 8:48 p.m.