Triple
T13004403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carel Struycken |
E322247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Struycken
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
|
E1016144
|
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: Struycken | Statement: [Carel Struycken, familyName, Struycken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Struycken Context triple: [Carel Struycken, familyName, Struycken]
-
A.
Cromstrijen
Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
-
B.
Rozengracht
Rozengracht is a prominent street in Amsterdam’s Jordaan neighborhood, known for its historic canalside buildings, shops, and cafés.
-
C.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
D.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
E.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
- 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: Struycken Triple: [Carel Struycken, familyName, Struycken]
Generated description
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Struycken Target entity description: Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
-
A.
Cromstrijen
Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
-
B.
Rozengracht
Rozengracht is a prominent street in Amsterdam’s Jordaan neighborhood, known for its historic canalside buildings, shops, and cafés.
-
C.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
-
D.
Steenbergen
Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
-
E.
Doorn Van Steyn
Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c107f990819093042560b1bc4473 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c43bc75c8190887b8135fbc8bbb5 |
completed | May 3, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c50cf3c08190b1ef6379f1f96201 |
completed | May 3, 2026, 3:46 a.m. |
Created at: April 9, 2026, 8:47 p.m.