Triple

T9497581
Position Surface form Disambiguated ID Type / Status
Subject Cheetah E229048 entity
Predicate includedApplication P1393 FINISHED
Object TextEdit E41446 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: TextEdit | Statement: [Cheetah, includedApplication, TextEdit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TextEdit
Context triple: [Cheetah, includedApplication, TextEdit]
  • A. TextEdit chosen
    TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
  • B. EDIT
    EDIT is a simple text editor included with the FreeDOS operating system, modeled after the classic MS-DOS Editor for creating and modifying plain text files.
  • C. WordPad
    WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
  • D. Sam text editor
    Sam text editor is a powerful, programmable text editor from Bell Labs, designed by Rob Pike with a structural regular-expression-based command language and tight integration between its command and editing interfaces.
  • E. textutils
    textutils was the former name of a collection of GNU command-line text processing utilities that were later consolidated into the GNU Core Utilities package.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ef06b88190b7a840caddea3e38 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d3aafb88190ac53289039bca88a completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.