Haak
E243310
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Haak canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T2183853 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haak Context triple: [Genera Plantarum, publisherOfFirstEdition, Haak]
-
A.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
B.
HAA
HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
-
C.
Ham
Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
-
D.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
E.
Hase
The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haak Target entity description: Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
-
A.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
B.
HAA
HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
-
C.
Ham
Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
-
D.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
E.
Hase
The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
botanical work
ⓘ
publisher ⓘ |
| describedAs | influential botanical work ⓘ |
| field | botany ⓘ |
| hasPublisher |
Haak
ⓘ
Haak ⓘ |
| notableWorkPublished | Genera Plantarum ⓘ |
| published | Genera Plantarum ⓘ |
| publishedEdition | first edition of Genera Plantarum ⓘ |
| role | original publisher ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Haak Description of subject: Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.