Classifier Instance:

Anchor text: Data General Nova
Target Entity: Data_General_Nova
Preceding Context: It has been claimed that thanks to the success of The Beatles, EMI could fund research and build early models for medical use. The first production X-ray CT machine (in fact called the "EMI-Scanner") was limited to making tomographic sections of the brain, but acquired the image data in about 4 minutes (scanning two adjacent slices), and the computation time (using a
Succeeding Context: minicomputer) was about 7 minutes per picture. This scanner required the use of a water-filled Perspex tank with a pre-shaped rubber "head-cap" at the front, which enclosed the patient's head. The water-tank was used to reduce the dynamic range of the radiation reaching the detectors (between scanning outside the head compared with scanning through the bone of the skull). The images were relatively low resolution, being composed of a matrix of only 80 x 80 pixels.
Paragraph Title: null
Source Page: X-ray computed tomography

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_machine_103699975
|  |  |  |  |  |---wordnet_computer_103082979
|  |  |  |  |  |  |---wordnet_computer_103082979_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_1000219390.7752266426581862 1
wordnet_instrumentality_1035752401.8115625483235873 1
wordnet_conveyance_103100490-1.2516647673459174 0
wordnet_medium_106254669-2.339850525691767 0
wordnet_device_1031830801.4692535289288213 1
wordnet_instrument_103574816-1.3818735761380951 0
wordnet_memory_device_103744840-1.750349722044322 0
wordnet_machine_1036999750.7934107816447749 1
wordnet_computer_1030829790.3811241713856606 1
wordnet_web_site_106359193-0.9183306842609394 0
wordnet_motor_103789946-0.6733568510158227 0
wordnet_mechanism_103738472-1.3674515062182904 0
wordnet_musical_instrument_103800933-1.3294692825573537 0
wordnet_container_103094503-1.379404630871651 0
wordnet_equipment_103294048-1.7849570432561368 0
wordnet_system_104377057-1.558959141506632 0
wordnet_structure_104341686-1.6700167619586288 0
wordnet_facility_103315023-2.5572485301174166 0
wordnet_creation_103129123-1.8771261336311427 0
wordnet_article_100022903-1.9021011950626332 0
wordnet_commodity_103076708-1.8078194089440658 0
wordnet_way_104564698-2.319407308703365 0
wordnet_covering_103122748-1.8870281646135239 0
wordnet_event_100029378-2.513564213333852 0
wordnet_organization_108008335-2.581978671429123 0
wordnet_person_100007846-1.9905973769019973 0
yagoGeoEntity-2.7059350302910326 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |  |---wordnet_instrumentality_103575240
|  |  |  |---wordnet_conveyance_103100490
|  |  |  |---wordnet_medium_106254669
|  |  |  |---wordnet_device_103183080
|  |  |  |  |---wordnet_instrument_103574816
|  |  |  |  |---wordnet_memory_device_103744840
|  |  |  |  |---wordnet_machine_103699975
|  |  |  |  |  |---wordnet_computer_103082979
|  |  |  |  |  |  |---wordnet_web_site_106359193
|  |  |  |  |  |---wordnet_motor_103789946
|  |  |  |  |---wordnet_mechanism_103738472
|  |  |  |  |---wordnet_musical_instrument_103800933
|  |  |  |---wordnet_container_103094503
|  |  |  |---wordnet_equipment_103294048
|  |  |  |---wordnet_system_104377057
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_creation_103129123
|  |  |---wordnet_article_100022903
|  |  |---wordnet_commodity_103076708
|  |  |---wordnet_way_104564698
|  |  |---wordnet_covering_103122748
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity
|  |  |---wordnet_structure_104341686
|  |  |---wordnet_facility_103315023
|  |  |---wordnet_way_104564698