Triple

T321751
Position Surface form Disambiguated ID Type / Status
Subject macOS E6427 entity
Predicate hasDefaultTextEditor P12001 FINISHED
Object TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
E41446 NE FINISHED

How this triple was built (5 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: TextEdit | Statement: [macOS, hasDefaultTextEditor, TextEdit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TextEdit
Context triple: [macOS, hasDefaultTextEditor, TextEdit]
  • A. MacWrite
    MacWrite was one of the first WYSIWYG word processors for the original Macintosh, showcasing the platform’s graphical user interface and desktop publishing capabilities.
  • B. SimpleText
    SimpleText was a basic text-editing and word-processing application bundled with classic Mac OS, providing users with simple tools for creating and editing plain and styled text documents.
  • C. Time editors
    Time editors are the editorial staff of Time magazine responsible for making major journalistic decisions, including choosing the annual Time Person of the Year.
  • D. Gypsy text editor
    Gypsy text editor was an early WYSIWYG word processing program for the Xerox Alto that pioneered modern graphical user interface concepts such as direct manipulation and mouse-based text editing.
  • E. TeachText
    TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TextEdit
Triple: [macOS, hasDefaultTextEditor, TextEdit]
Generated description
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TextEdit
Target entity description: TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
  • A. MacWrite
    MacWrite was one of the first WYSIWYG word processors for the original Macintosh, showcasing the platform’s graphical user interface and desktop publishing capabilities.
  • B. SimpleText
    SimpleText was a basic text-editing and word-processing application bundled with classic Mac OS, providing users with simple tools for creating and editing plain and styled text documents.
  • C. Time editors
    Time editors are the editorial staff of Time magazine responsible for making major journalistic decisions, including choosing the annual Time Person of the Year.
  • D. Gypsy text editor
    Gypsy text editor was an early WYSIWYG word processing program for the Xerox Alto that pioneered modern graphical user interface concepts such as direct manipulation and mouse-based text editing.
  • E. TeachText
    TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDefaultTextEditor
Context triple: [macOS, hasDefaultTextEditor, TextEdit]
  • A. hasText
    Indicates that an entity is associated with or contains a specific piece of textual content.
  • B. defaultFileSystem
    Indicates that a given file system is the primary or standard file system automatically used by default for file operations in a particular context.
  • C. hasTextOpening
    Indicates that an entity begins with or contains a specified initial segment of text.
  • D. haveMajorTextTypes
    Indicates that an entity possesses or is associated with specific primary categories or types of texts.
  • E. defaultBrowserOn
    Indicates that a particular browser is set as the default browser on a given device or system.
  • F. None of above. chosen

Provenance (7 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea81a1e88190b3496070eb3d85f5 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cb0203c081909fadc99c2172c87a completed March 1, 2026, 5:13 a.m.
NEDg Description generation batch_69a3cb812dc081908a359022c8b5cf58 completed March 1, 2026, 5:15 a.m.
NED2 Entity disambiguation (via description) batch_69a3cbedcaf081908b4abdd3c7ce0474 completed March 1, 2026, 5:17 a.m.
PD Predicate disambiguation batch_69a2e948048c819098ba4de9261ef2ef completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea08878c8190a5e8a90f620a3888 completed Feb. 28, 2026, 1:13 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.