Harvester
E798007
Harvester is a UK-based casual dining restaurant chain known for its family-friendly atmosphere and grill-style menu.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Harvester canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9411160 — 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: Harvester Context triple: [Mitchells & Butlers plc, hasBrand, Harvester]
-
A.
Harvester
Harvester is SUSE’s open-source hyperconverged infrastructure (HCI) platform designed to manage virtual machines and Kubernetes workloads on bare-metal servers.
-
B.
Earthworm Tractors
Earthworm Tractors is a 1936 American comedy film starring Joe E. Brown as an overzealous tractor salesman whose antics create chaos in a small town.
-
C.
Bulldozer
"Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
-
D.
Maquinna
Maquinna was a prominent 18th–19th century Nuu-chah-nulth chief known for his influential role in early contacts and trade with European explorers on the Pacific Northwest Coast.
-
E.
الحافرة
الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
- 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: Harvester Target entity description: Harvester is a UK-based casual dining restaurant chain known for its family-friendly atmosphere and grill-style menu.
-
A.
Harvester
Harvester is SUSE’s open-source hyperconverged infrastructure (HCI) platform designed to manage virtual machines and Kubernetes workloads on bare-metal servers.
-
B.
Earthworm Tractors
Earthworm Tractors is a 1936 American comedy film starring Joe E. Brown as an overzealous tractor salesman whose antics create chaos in a small town.
-
C.
Bulldozer
"Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
-
D.
Maquinna
Maquinna was a prominent 18th–19th century Nuu-chah-nulth chief known for his influential role in early contacts and trade with European explorers on the Pacific Northwest Coast.
-
E.
الحافرة
الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
casual dining restaurant
ⓘ
restaurant chain ⓘ |
| accepts |
credit cards
ⓘ
debit cards ⓘ online payments ⓘ |
| brandOrigin | United Kingdom ⓘ |
| brandType | family restaurant brand ⓘ |
| country | United Kingdom ⓘ |
| cuisine |
British cuisine
ⓘ
grill-style food ⓘ |
| dressCode | casual ⓘ |
| hasFeature |
bar area
ⓘ
breakfast offering ⓘ children’s menu ⓘ loyalty offers ⓘ online booking ⓘ salad bar ⓘ set-price menus ⓘ takeaway service ⓘ |
| hasServiceOption |
dine-in
ⓘ
online ordering ⓘ takeaway ⓘ |
| headquartersLocation | United Kingdom ⓘ |
| industry | restaurant industry ⓘ |
| knownFor |
family-friendly atmosphere
ⓘ
grill-style menu ⓘ |
| menuIncludes |
burgers
ⓘ
chicken dishes ⓘ desserts ⓘ grilled meats ⓘ steaks ⓘ vegetarian options ⓘ |
| operatesIn |
England
ⓘ
Scotland ⓘ Wales ⓘ |
| priceRange | mid-range ⓘ |
| serviceType | casual dining ⓘ |
| targetAudience | families ⓘ |
| typicalLocation |
retail parks
ⓘ
roadside locations ⓘ suburban areas ⓘ |
| typicalService | table service ⓘ |
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: Harvester Description of subject: Harvester is a UK-based casual dining restaurant chain known for its family-friendly atmosphere and grill-style menu.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.