Triple

T10485466
Position Surface form Disambiguated ID Type / Status
Subject 68k Macintosh E247282 entity
Predicate notableSoftware P42421 FINISHED
Object MacWrite E38939 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: MacWrite | Statement: [68k Macintosh, notableSoftware, MacWrite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacWrite
Context triple: [68k Macintosh, notableSoftware, MacWrite]
  • A. MacWrite chosen
    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. WordStar
    WordStar is a pioneering word processing software program that was widely used on early personal computers in the late 1970s and 1980s.
  • C. Corel WordPerfect Office
    Corel WordPerfect Office is an office productivity suite by Corel that includes word processing, spreadsheet, presentation, and related tools, historically popular as an alternative to Microsoft Office.
  • D. Claris
    Claris is a software company best known for developing productivity and database applications, including the FileMaker platform and related tools.
  • E. Lotus Word Pro
    Lotus Word Pro is a word processing application developed by Lotus as part of the Lotus SmartSuite office productivity 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096988ec81908d7518b09256c145 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc7fc0cc8190922b7b783d37f542 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.