Predicate: whiten
Roleset id: whiten.01 , (cause to) become (more) white, Source: , vncls: , framnet:
whiten.01: WHITEN-V NOTES: Frame file created by Arrick. Verbnet class other_cos-45.4, other members include activate, age, balance, blur,darken, hasten, laminate, magnetize, revive, ripen, sicken,stabilize, sour, tilt, unwind. (from whiten.01-v)
Aliases:
Alias | FrameNet | VerbNet |
whiten (v.) | | |
Roles:
        Arg0-PAG: agent (vnrole: 45.4-Agent)
        Arg1-PPT: patient (vnrole: 45.4-Patient)
Example: whiten-v
        [Many of the jade pieces in the pits]-9 were whitened [*]-9, for example, and the edges of the bronzes were curled and warped.
        Arg1: [*]-9 -> Many of the jade peices in the pits
        Argm-dis: for example
        Rel: whitened
Predicate: white
Roleset id: white.02 , of an ethnic background featuring light skin, Source: , vncls: , framnet:
white.02: WHITE-J NOTES: Added by Julia based on BOLT-1, FrameNet. (from white.02-j)
Aliases:
Alias | FrameNet | VerbNet |
white (j.) | Race_descriptor | |
Roles:
        Arg1-PAG: entity identifying as white, racially
Example: arg1
        person: ns,  tense: ns,  aspect: ns,  voice: ns,  form: ns
        When you look at other western countries like Canada , America , Australia , the vast majority of its immigrants are not whitethese days and are probably heading for a more diverse future , somuch so to the point that these nations will have very differentdemographic look to them in 50 years time .
        Argm-adv: When you look at other western countries like Canada, America, Australia
        Arg1: the vast majority of its immigrants
        Argm-neg: not
        Rel: white
        Argm-tmp: these days
Roleset id: white.03 , the color white, Source: , vncls: , framnet:
white.03: WHITE-J NOTES: Added by Julia based on WordNet, black-j.01. (from white.01-j)
Aliases:
Alias | FrameNet | VerbNet |
white (j.) | Color | |
whiter (j.) | | |
Roles:
        Arg1-PAG: thing that is white in color
        Arg2-VSP: specific part of arg1, if also mentioned
Example: both args
        person: ns,  tense: ns,  aspect: ns,  voice: ns,  form: ns
        One was black of hair and blue of eyes the other was white of hair and violet of eyes.
        Arg1: the other
        Rel: white
        Arg2: of hair