Triple
T8223884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carola Schouten |
E192130
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schouten
Schouten is a Dutch surname borne by various notable figures, including politicians, academics, and athletes in the Netherlands.
|
E719570
|
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: Schouten | Statement: [Carola Schouten, familyName, Schouten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schouten Context triple: [Carola Schouten, familyName, Schouten]
-
A.
Lieftinck
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
-
B.
Castrisch
Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
E.
Berghuizen
Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
- 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: Schouten Triple: [Carola Schouten, familyName, Schouten]
Generated description
Schouten is a Dutch surname borne by various notable figures, including politicians, academics, and athletes in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schouten Target entity description: Schouten is a Dutch surname borne by various notable figures, including politicians, academics, and athletes in the Netherlands.
-
A.
Lieftinck
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
-
B.
Castrisch
Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Heinsius
Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
-
E.
Berghuizen
Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cc351481908d7dcd6d3d15d59f |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccee0fd9d0819094350c9c7887cabe |
completed | April 1, 2026, 10:06 a.m. |
| NEDg | Description generation | batch_69ccf1bc720081908c4eabf58336318a |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05f26f9c8190a3cc00c03c6dda95 |
completed | April 1, 2026, 11:48 a.m. |
Created at: March 30, 2026, 5:45 p.m.