Triple

T11957964
Position Surface form Disambiguated ID Type / Status
Subject Foundation E284599 entity
Predicate includesType P121 FINISHED
Object NSData E236684 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: NSData | Statement: [Foundation, includesType, NSData]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSData
Context triple: [Foundation, includesType, NSData]
  • A. NSData chosen
    NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
  • B. NSMutableData
    NSMutableData is a mutable subclass of NSData in Apple’s Foundation framework that allows dynamically modifying and managing a buffer of binary data.
  • C. NSUnarchiver
    NSUnarchiver is an Objective-C class in Apple’s Foundation framework used to decode and reconstruct objects from archived data created by NSArchiver or related archiving classes.
  • 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. NSArray
    NSArray is an Objective-C class in Apple’s Foundation framework that represents an ordered, immutable collection of objects.
  • 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.