Triple

T29912378
Position Surface form Disambiguated ID Type / Status
Subject GCKeyboard E759699 entity
Predicate hasAssociatedClass P25008 FINISHED
Object GCKeyboardInput
GCKeyboardInput is a GameController framework class that represents and manages the state of keys and input events from a physical keyboard on Apple platforms.
 E759699 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: GCKeyboardInput | Statement: [GCKeyboard, hasAssociatedClass, GCKeyboardInput]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GCKeyboardInput
Triple: [GCKeyboard, hasAssociatedClass, GCKeyboardInput]
Generated description
GCKeyboardInput is a GameController framework class that represents and manages the state of keys and input events from a physical keyboard on Apple platforms.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAssociatedClass
Context triple: [GCKeyboard, hasAssociatedClass, GCKeyboardInput]
  • A. hasAssociatedType
    Indicates that one entity is linked to another entity that specifies its type, category, or classification.
  • B. associatedWithClass chosen
    Indicates that an entity has a connection or linkage to a particular class or category, without specifying the exact nature of that relationship.
  • C. hasCanonicalAssociation
    Indicates that one entity is formally recognized as the standard or authoritative counterpart associated with another entity.
  • D. hasPrimaryAssociation
    Indicates that one entity is chiefly or most directly connected, linked, or related to another among possible associations.
  • E. hasDimensionAssociation
    Indicates an association between an entity and one or more of its dimensions, such as size, length, width, height, or other measurable extents.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2714147dc481909c8440875cad5073 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a271498c12c81909a3ca72cfeb8bcb5 completed June 8, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2719a575388190baec154da1d3ed1a completed June 8, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 29, 2026, 6:10 p.m.