Triple
T11484380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. G. Visser |
E272236
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Visser
Visser is a common Dutch surname borne by various notable individuals across fields such as sports, academia, and the arts.
|
E928666
|
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: Visser | Statement: [A. G. Visser, familyName, Visser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visser Context triple: [A. G. Visser, familyName, Visser]
-
A.
Visscher
Visscher is a Dutch family name historically associated with prominent 17th-century mapmakers and printmakers from Amsterdam.
-
B.
Viljoen
Viljoen is an Afrikaans-origin surname commonly found in South Africa and Namibia, associated with several notable figures in politics, sports, and the military.
-
C.
Jasaan
Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
-
D.
Kolderbos
Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
-
E.
Vissering
Vissering is a Dutch-origin surname borne by various individuals, including those of note in academic and professional fields.
- 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: Visser Triple: [A. G. Visser, familyName, Visser]
Generated description
Visser is a common Dutch surname borne by various notable individuals across fields such as sports, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Visser Target entity description: Visser is a common Dutch surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
A.
Visscher
Visscher is a Dutch family name historically associated with prominent 17th-century mapmakers and printmakers from Amsterdam.
-
B.
Viljoen
Viljoen is an Afrikaans-origin surname commonly found in South Africa and Namibia, associated with several notable figures in politics, sports, and the military.
-
C.
Jasaan
Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
-
D.
Kolderbos
Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
-
E.
Vissering
Vissering is a Dutch-origin surname borne by various individuals, including those of note in academic and professional fields.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60451a89081909f9534fee6cb809f |
completed | April 20, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69e610a5ea0481908169c58dc0831b76 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6182b06f88190ab36d976ac989019 |
completed | April 20, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:36 p.m.