Triple
T20323950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelis Kruseman |
E492283
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kruseman
Kruseman is a Dutch surname most notably associated with the 19th-century painter Cornelis Kruseman and a family of artists.
|
E1423931
|
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: Kruseman | Statement: [Cornelis Kruseman, familyName, Kruseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kruseman Context triple: [Cornelis Kruseman, familyName, Kruseman]
-
A.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
B.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
C.
Castrisch
Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
-
D.
Kremer
Kremer is the surname of Gidon Kremer, a renowned Latvian-born violinist and conductor known for his interpretations of both classical and contemporary repertoire.
-
E.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
- 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: Kruseman Triple: [Cornelis Kruseman, familyName, Kruseman]
Generated description
Kruseman is a Dutch surname most notably associated with the 19th-century painter Cornelis Kruseman and a family of artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kruseman Target entity description: Kruseman is a Dutch surname most notably associated with the 19th-century painter Cornelis Kruseman and a family of artists.
-
A.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
B.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
C.
Castrisch
Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
-
D.
Kremer
Kremer is the surname of Gidon Kremer, a renowned Latvian-born violinist and conductor known for his interpretations of both classical and contemporary repertoire.
-
E.
Le Kram
Le Kram is a coastal town and suburb of Tunis in northeastern Tunisia, known for its proximity to the capital and the Gulf of Tunis.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08612ae0fc8190b71aed985088eb59 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0862c7eaa081909932483432f2fa9a |
completed | May 16, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08634352288190976327bca8ea3986 |
completed | May 16, 2026, 12:29 p.m. |
Created at: April 16, 2026, 11:21 a.m.