Triple

T4192698
Position Surface form Disambiguated ID Type / Status
Subject Xerox Alto E89071 entity
Predicate softwareIncluded P33721 FINISHED
Object Bravo word processor 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 word processor | Statement: [Xerox Alto, softwareIncluded, Bravo word processor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bravo word processor
Context triple: [Xerox Alto, softwareIncluded, Bravo word processor]
  • A. Ashton-Tate
    Ashton-Tate was a prominent American software company best known for its dBASE database management system, which was a leading product in the personal computer software market during the 1980s.
  • B. Lotus 1-2-3
    Lotus 1-2-3 is a pioneering spreadsheet software program for personal computers that became a dominant business application in the 1980s.
  • C. 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.
  • D. Kaypro computers
    Kaypro computers were a popular line of rugged, portable personal computers from the 1980s known for their metal cases and use in business and professional environments.
  • E. Adobe PageMaker
    Adobe PageMaker was one of the first widely used desktop publishing applications, popular in the 1980s and 1990s for creating professional-quality printed documents such as brochures, newsletters, and books.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034169f88190a8eb170ba6008b79 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a08bb6881909bdd7643626e1a64 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.