Triple

T2142698
Position Surface form Disambiguated ID Type / Status
Subject NeXTstation E46996 entity
Predicate influenced P9 FINISHED
Object Cocoa frameworks E59592 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: Cocoa frameworks | Statement: [NeXTstation, influenced, Cocoa frameworks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cocoa frameworks
Context triple: [NeXTstation, influenced, Cocoa frameworks]
  • A. macOS Cocoa chosen
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • B. macOS SDK
    macOS SDK is Apple’s software development kit that provides the frameworks, tools, and APIs needed to build applications for the macOS operating system.
  • C. Quartz 2D
    Quartz 2D is Apple’s modern 2D graphics rendering and drawing engine used in macOS and iOS for high-quality, resolution-independent graphics.
  • D. OPENSTEP
    OPENSTEP is an object-oriented application programming interface and operating system environment developed by NeXT that later formed the technological foundation for macOS and iOS.
  • E. Objective-C
    Objective-C is an object-oriented programming language primarily known for its use in developing software for Apple's macOS and iOS platforms.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe206db0819095772af5358dca55 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b63e4081908a5d87af5d17d3c4 completed March 9, 2026, 4:51 a.m.
Created at: March 4, 2026, 7:44 p.m.