Triple

T15506864
Position Surface form Disambiguated ID Type / Status
Subject Lisa Office System E379103 entity
Predicate influenced P9 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: [Lisa Office System, influenced, MacWrite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacWrite
Context triple: [Lisa Office System, influenced, 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. Microsoft Word for Macintosh
    Microsoft Word for Macintosh is the classic Mac-specific version of Microsoft’s word processing software, designed to integrate with the early Macintosh graphical user interface and features.
  • C. WordStar
    WordStar is a pioneering word processing software program that was widely used on early personal computers in the late 1970s and 1980s.
  • D. 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.
  • E. Claris
    Claris is a software company best known for developing productivity and database applications, including the FileMaker platform and related tools.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366e472c819093472da2a49593c6 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.