Triple

T9177342
Position Surface form Disambiguated ID Type / Status
Subject Appearance Manager E220233 entity
Predicate category P87 FINISHED
Object Mac OS API E268859 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: Mac OS API | Statement: [Appearance Manager, category, Mac OS API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac OS API
Context triple: [Appearance Manager, category, Mac OS API]
  • A. 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.
  • B. Apple platforms APIs chosen
    Apple platforms APIs are the software interfaces and frameworks provided by Apple for building applications across its operating systems, including iOS, macOS, watchOS, and tvOS.
  • C. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • D. macOS
    macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
  • E. macOS Accessibility API
    The macOS Accessibility API is Apple’s system-level framework that enables assistive technologies like screen readers and alternative input devices to interact with and convey the user interface of macOS applications to users with disabilities.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa60c3c8190b6335b9067de5b72 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054ae9a708190b26c2f2c7ebb59c9 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:23 p.m.