Triple

T11957958
Position Surface form Disambiguated ID Type / Status
Subject Foundation E284599 entity
Predicate includesType P121 FINISHED
Object NSArray E770627 NE FINISHED

How this triple was built (2 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, includesType, NSArray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSArray
Context triple: [Foundation, includesType, NSArray]
  • A. NSArray chosen
    NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
  • B. Array
    Array is a fundamental Swift collection type that stores an ordered, indexable list of values of the same type.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.