Triple

T9761908
Position Surface form Disambiguated ID Type / Status
Subject NSException E236689 entity
Predicate conformsTo P3994 FINISHED
Object NSCopying E820269 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: NSCopying | Statement: [NSException, conformsTo, NSCopying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSCopying
Context triple: [NSException, conformsTo, NSCopying]
  • A. NSCopying chosen
    NSCopying is an Objective-C protocol that defines the interface for creating immutable copies of objects.
  • 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. NSCoding
    NSCoding is an Objective-C protocol in Apple’s frameworks that defines methods for encoding and decoding objects so they can be serialized and later reconstructed.
  • D. NSSecureCoding
    NSSecureCoding is an Apple protocol that extends NSCoding to require secure, type-checked archiving and unarchiving of objects to prevent object substitution attacks.
  • E. NSCoder
    NSCoder is an abstract class in Apple’s Foundation framework that provides an interface for encoding and decoding objects and values for archiving and serialization.
  • 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_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_69d1d5a4a88c8190bac0a2bff02804dc completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:25 p.m.