Triple

T11946726
Position Surface form Disambiguated ID Type / Status
Subject Workspace Manager E284316 entity
Predicate influenced P9 FINISHED
Object macOS Finder E209745 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: macOS Finder | Statement: [Workspace Manager, influenced, macOS Finder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: macOS Finder
Context triple: [Workspace Manager, influenced, macOS Finder]
  • A. Macintosh Finder
    Macintosh Finder is the graphical file management and desktop environment software for classic Mac OS, providing users with icons, windows, and menus to navigate and organize files.
  • B. The Finder
    The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
  • C. 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.
  • D. MultiFinder
    MultiFinder was an extension to the classic Mac OS that enabled cooperative multitasking, allowing users to run and switch between multiple applications simultaneously.
  • E. macOS System Settings chosen
    macOS System Settings is the central configuration application on macOS where users manage system-wide preferences, features, and services.
  • 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_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458cbb08881909a71f0592c9231ae completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.