Triple

T9761693
Position Surface form Disambiguated ID Type / Status
Subject NSData E236684 entity
Predicate relatedTo P37 FINISHED
Object NSMutableData
NSMutableData is a mutable subclass of NSData in Apple’s Foundation framework that allows dynamically modifying and managing a buffer of binary data.
E821132 NE FINISHED

How this triple was built (4 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: NSMutableData | Statement: [NSData, relatedTo, NSMutableData]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSMutableData
Context triple: [NSData, relatedTo, NSMutableData]
  • A. NSData
    NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
  • B. NSMutableCopying
    NSMutableCopying is an Objective-C protocol that allows objects to create mutable copies of themselves, typically used alongside the NSCopying protocol in Cocoa and Cocoa Touch frameworks.
  • C. NSMutableSet
    NSMutableSet is a Foundation framework collection class in Objective-C that represents an unordered set of unique objects whose contents can be modified after creation.
  • D. NSCopying
    NSCopying is an Objective-C protocol that defines the interface for creating immutable copies of objects.
  • E. NSArray
    NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: NSMutableData
Triple: [NSData, relatedTo, NSMutableData]
Generated description
NSMutableData is a mutable subclass of NSData in Apple’s Foundation framework that allows dynamically modifying and managing a buffer of binary data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NSMutableData
Target entity description: NSMutableData is a mutable subclass of NSData in Apple’s Foundation framework that allows dynamically modifying and managing a buffer of binary data.
  • A. NSData
    NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
  • B. NSMutableCopying
    NSMutableCopying is an Objective-C protocol that allows objects to create mutable copies of themselves, typically used alongside the NSCopying protocol in Cocoa and Cocoa Touch frameworks.
  • C. NSMutableSet
    NSMutableSet is a Foundation framework collection class in Objective-C that represents an unordered set of unique objects whose contents can be modified after creation.
  • D. NSCopying
    NSCopying is an Objective-C protocol that defines the interface for creating immutable copies of objects.
  • E. NSArray
    NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
  • F. None of above. chosen

Provenance (5 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04c70108190a8ed09eb6f2a124e completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41022908190a5f55291a2323691 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4c37e248190a1b10cf6d0056c02 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c56957f8819080eca0a71c24f86a completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:25 p.m.