Triple
T20674700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Hoeks |
E508128
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hoeks
Hoeks is a Dutch surname most notably borne by actress Sylvia Hoeks, known for her roles in international film and television.
|
E1443832
|
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: Hoeks | Statement: [Sylvia Hoeks, familyName, Hoeks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoeks Context triple: [Sylvia Hoeks, familyName, Hoeks]
-
A.
Sterksel
Sterksel is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Heeze-Leende.
-
B.
Blijham
Blijham is a village in the municipality of Westerwolde in the province of Groningen in the northeastern Netherlands.
-
C.
Koos
Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
-
D.
Medemblik
Medemblik is a historic town and municipality in the northwest of the Netherlands, situated on the IJsselmeer and known for its medieval castle and sailing heritage.
-
E.
Hoogkerk
Hoogkerk is a village in the Dutch province of Groningen, now effectively a suburb of the city of Groningen with a mix of residential areas and industrial activity.
- 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: Hoeks Triple: [Sylvia Hoeks, familyName, Hoeks]
Generated description
Hoeks is a Dutch surname most notably borne by actress Sylvia Hoeks, known for her roles in international film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoeks Target entity description: Hoeks is a Dutch surname most notably borne by actress Sylvia Hoeks, known for her roles in international film and television.
-
A.
Sterksel
Sterksel is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Heeze-Leende.
-
B.
Blijham
Blijham is a village in the municipality of Westerwolde in the province of Groningen in the northeastern Netherlands.
-
C.
Koos
Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
-
D.
Medemblik
Medemblik is a historic town and municipality in the northwest of the Netherlands, situated on the IJsselmeer and known for its medieval castle and sailing heritage.
-
E.
Hoogkerk
Hoogkerk is a village in the Dutch province of Groningen, now effectively a suburb of the city of Groningen with a mix of residential areas and industrial activity.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd689f3881908347064014c9a32a |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.