Triple
T1016644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Rycken |
E21944
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Rycken
Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
|
E121603
|
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: Rycken | Statement: [Abraham Rycken, familyName, Rycken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rycken Context triple: [Abraham Rycken, familyName, Rycken]
-
A.
Rokin
Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
-
B.
Rammenau
Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
-
C.
Rysy
Rysy is a prominent peak in the High Tatras on the border of Poland and Slovakia, popular with hikers for its panoramic alpine views and status as Poland’s highest summit.
-
D.
Scaniarinken
Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
-
E.
Tarpenning
Tarpenning is the surname of Marc Tarpenning, an American engineer and entrepreneur best known as a co-founder of Tesla Motors.
- 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: Rycken Triple: [Abraham Rycken, familyName, Rycken]
Generated description
Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rycken Target entity description: Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
-
A.
Rokin
Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
-
B.
Rammenau
Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
-
C.
Rysy
Rysy is a prominent peak in the High Tatras on the border of Poland and Slovakia, popular with hikers for its panoramic alpine views and status as Poland’s highest summit.
-
D.
Scaniarinken
Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
-
E.
Tarpenning
Tarpenning is the surname of Marc Tarpenning, an American engineer and entrepreneur best known as a co-founder of Tesla Motors.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c1e9d08190baf7e81f3777168d |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb1b0bc819095af3b50bfebca1e |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3dd441fc8190ad462aa07e9c8c9b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e45d9e88190bc88d037c00c3ecc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.