Triple
T3867238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Claus of the Netherlands |
E91890
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Claus
Claus was the German-born Prince Consort of Queen Beatrix of the Netherlands, known formally as Prince Claus of the Netherlands.
|
E396023
|
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: Claus | Statement: [Prince Claus of the Netherlands, givenName, Claus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claus Context triple: [Prince Claus of the Netherlands, givenName, Claus]
-
A.
Klaas
Klaas is a masculine given name of Dutch origin commonly used in the Netherlands and Belgium.
-
B.
Bruno
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
-
C.
Karlsson
Karlsson is a Scandinavian variant of the surname Carlson, commonly found in Sweden and other Nordic countries.
-
D.
Nils
Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
-
E.
Helga
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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: Claus Triple: [Prince Claus of the Netherlands, givenName, Claus]
Generated description
Claus was the German-born Prince Consort of Queen Beatrix of the Netherlands, known formally as Prince Claus of the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claus Target entity description: Claus was the German-born Prince Consort of Queen Beatrix of the Netherlands, known formally as Prince Claus of the Netherlands.
-
A.
Klaas
Klaas is a masculine given name of Dutch origin commonly used in the Netherlands and Belgium.
-
B.
Bruno
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
-
C.
Karlsson
Karlsson is a Scandinavian variant of the surname Carlson, commonly found in Sweden and other Nordic countries.
-
D.
Nils
Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
-
E.
Helga
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3cc1a88190924125a86f72fd5b |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512410f38819089adccf0a476dd8f |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b512f3504c8190be940148a4f726e9 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5172b369c8190956d7c54943225cd |
completed | March 14, 2026, 8:07 a.m. |
Created at: March 9, 2026, 3:19 p.m.