Triple

T9004015
Position Surface form Disambiguated ID Type / Status
Subject Foundation framework E215098 entity
Predicate includes P1393 FINISHED
Object NSArray
NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
 E770627 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: NSArray | Statement: [Foundation framework, includes, NSArray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NSArray
Context triple: [Foundation framework, includes, NSArray]
  • A. Array
    Array is a fundamental Swift collection type that stores an ordered, indexable list of values of the same type.
  • B. ARRAY
    ARRAY is a film distribution and resource collective dedicated to amplifying the work of women and people of color in the independent film industry.
  • C. NSString
    NSString is an Objective-C class representing immutable Unicode strings, widely used as the primary string type in Apple’s Cocoa and Cocoa Touch frameworks.
  • D. System.Array
    System.Array is the fundamental base class in .NET for all arrays, providing common methods and properties for creating, manipulating, and accessing fixed-size collections of elements.
  • E. NSData
    NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
  • 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: NSArray
Triple: [Foundation framework, includes, NSArray]
Generated description
NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NSArray
Target entity description: NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
  • A. Array
    Array is a fundamental Swift collection type that stores an ordered, indexable list of values of the same type.
  • B. ARRAY
    ARRAY is a film distribution and resource collective dedicated to amplifying the work of women and people of color in the independent film industry.
  • C. NSString
    NSString is an Objective-C class representing immutable Unicode strings, widely used as the primary string type in Apple’s Cocoa and Cocoa Touch frameworks.
  • D. System.Array
    System.Array is the fundamental base class in .NET for all arrays, providing common methods and properties for creating, manipulating, and accessing fixed-size collections of elements.
  • E. NSData
    NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e3f0c88190ae688632be25e5c9 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd17e5850819087fbb60fdc612fd9 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd215204c8190886cc071f100aab6 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:05 p.m.