Triple
T7553050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartel Leendert van der Waerden |
E178583
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Leendert
Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
|
E673512
|
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: Leendert | Statement: [Bartel Leendert van der Waerden, hasGivenName, Leendert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leendert Context triple: [Bartel Leendert van der Waerden, hasGivenName, Leendert]
-
A.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
B.
Adriaan Dortsman
Adriaan Dortsman was a prominent 17th-century Dutch architect known for his refined Dutch Classicist designs in Amsterdam, including canal houses and churches.
-
C.
Adriaan
Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
-
D.
Hendrik
Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
-
E.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
- 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: Leendert Triple: [Bartel Leendert van der Waerden, hasGivenName, Leendert]
Generated description
Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leendert Target entity description: Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
-
A.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
B.
Adriaan Dortsman
Adriaan Dortsman was a prominent 17th-century Dutch architect known for his refined Dutch Classicist designs in Amsterdam, including canal houses and churches.
-
C.
Adriaan
Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
-
D.
Hendrik
Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
-
E.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b8165481908285fc9697fe4c99 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856be6e1c8190ba292d4d9cf1f37f |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85765d1f48190b171ff87a15c5b74 |
completed | March 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8580963748190b81bd7437259da28 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:49 p.m.