Triple

T4418748
Position Surface form Disambiguated ID Type / Status
Subject System 7 E95043 entity
Predicate introducedFeature P513 FINISHED
Object AppleScript E155905 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: AppleScript | Statement: [System 7, introducedFeature, AppleScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AppleScript
Context triple: [System 7, introducedFeature, AppleScript]
  • A. AppleScript chosen
    AppleScript is a scripting language created by Apple for automating tasks and controlling applications on macOS.
  • B. ExtendScript
    ExtendScript is Adobe's JavaScript-based scripting language used to automate and extend functionality across Creative Cloud applications like After Effects and Photoshop.
  • C. 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.
  • D. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • E. Alfred (macOS application)
    Alfred (macOS application) is a productivity and application launcher tool for macOS that enhances and extends Spotlight-style search with powerful workflows, hotkeys, and automation features.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551e7c6c819090fa5dfb5ac58e4c completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61fa6d88190b98810b542835817 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.