Triple

T11419739
Position Surface form Disambiguated ID Type / Status
Subject Xerox Alto E270586 entity
Predicate software P10387 FINISHED
Object Gypsy word processor E13594 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: Gypsy word processor | Statement: [Xerox Alto, software, Gypsy word processor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gypsy word processor
Context triple: [Xerox Alto, software, Gypsy word processor]
  • A. Gypsy text editor chosen
    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.
  • 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. Lotus Word Pro
    Lotus Word Pro is a word processing application developed by Lotus as part of the Lotus SmartSuite office productivity package.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b88f80d88190b91b63d0b7457c25 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.