Apple's agreement with IBM would be labeled with Apple as the Arg0 and IBM as the Arg2.

NomBank Example

NomBank adds annotations to noun predicates. This allows semantic role labelers to assign labels to arguments of both verbal and nominal predicates.

State University of New York at Stony Brook

A resource of sentences annotated with semantic roles.
The semantic roles in PropBank are defined with respect to an individual verb sense. Each sense of each verb thus has a specific set of roles.

Proposition Bank

An on-going but a helpful book resource about NLP
https://web.stanford.edu/~jurafsky/slp3/

Speech and Language Processing (3rd ed. draft) 

Notations are given only numbers rather than names: Arg0, Arg1, Arg2, and so on. In general, Arg0 : PROTO-AGENT, Arg1 : PROTO-PATIENT, Arg2 : benefactive, instrument, attribute, or end state. Arg3 : start point, benefactive, instrument, or attribute, and Arg4: the end point   
The semantics of the other roles [Arg2,3,4] are less consistent, often being defined specifically for each verb.

Notation

PropBank also has a number of non-numbered arguments called ArgMs which represent modification or adjunct meanings.(ArgM-TMP, ArgM-LOC, etc.)
These are relatively stable across predicates, so they are not listed with each Frame file. Data labeled with these modifiers are helpful in training systems to detect temporal, location, or directional modification across predicates.

Learn Before

Related

Learn After