Triple

T2472827
Position Surface form Disambiguated ID Type / Status
Subject Xerox PARC E55015 entity
Predicate developed P73 FINISHED
Object Bravo text editor E89072 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: Bravo text editor | Statement: [Xerox PARC, developed, Bravo text editor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bravo text editor
Context triple: [Xerox PARC, developed, Bravo text editor]
  • A. Bravo text editor chosen
    Bravo text editor was an early WYSIWYG word processing program developed at Xerox PARC that pioneered many modern graphical text-editing concepts.
  • B. Pluma text editor
    Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
  • C. 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.
  • D. GNU Emacs
    GNU Emacs is a highly extensible, customizable text editor and computing environment that serves as a flagship project of the GNU system and the free software movement.
  • E. Notepad
    Notepad is a simple text-editing program for Windows that allows users to create and edit plain text files without formatting.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd149c10c819098ff75f176972c8b completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17a5bb04819090b3156a9819b87d completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.