1. A method of measuring and displaying facets in context-based conformed dimensional data gravity wells, the method comprising: receiving, by one or more processors, a data stream of non-contextual data objects, wherein each of the non-contextual data objects ambiguously relates to multiple subject-matters; associating, by one or more processors, one of the non-contextual data objects with a context object to define a synthetic context-based object, wherein the context object is a first facet that provides a context that identifies a specific subject-matter, from the multiple subject-matters, of said one of the non-contextual data objects; parsing, by one or more processors, the synthetic context-based object into a context-based n-tuple, wherein the context-based n-tuple comprises a pointer to said one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, and a weighting factor of importance of the synthetic context-based object; creating, by one or more processors, multiple context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional data gravity wells membrane, wherein each of the multiple context-based conformed dimensional data gravity well frameworks comprises at least one non-contextual data object and at least one context object, and wherein the context-based conformed dimensional data gravity wells membrane is a virtual mathematical membrane that is capable of supporting multiple context-based conformed dimensional data gravity wells; calculating, by one or more processors, a virtual mass of a parsed synthetic context-based object, wherein the virtual mass of the parsed synthetic context-based object is derived from a formula of: 
 P c ( C )× Wt c ( S ), where P c (C) is a probability that the non-contextual data object has been associated with a correct context object, and where Wt c (S) is the weighting factor of importance of the synthetic context-based object; transmitting, by one or more processors, multiple parsed synthetic context-based objects to the context-based conformed dimensional data gravity wells membrane; populating, by one or more processors, each of the multiple context-based conformed dimensional data gravity well frameworks with the multiple parsed synthetic context-based objects to define multiple context-based conformed dimensional data gravity wells according to the virtual mass of multiple parsed synthetic context-based objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks, wherein each of the multiple parsed synthetic context-based objects is pulled into a particular context-based conformed dimensional data gravity well in response to values from its n-tuple matching said at least one context object in said particular context-based conformed dimensional data gravity well; and dynamically adjusting, by one or more processors, a displayed appearance of the particular context-based conformed dimensional data gravity well according to how closely each of the multiple parsed synthetic context-based objects matches said at least one context object.