Triple

T21423396
Position Surface form Disambiguated ID Type / Status
Subject Enchanter E528492 entity
Predicate platform P1292 FINISHED
Object Kaypro NE NERFINISHED

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: Kaypro | Statement: [Enchanter, platform, Kaypro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaypro
Context triple: [Enchanter, platform, Kaypro]
  • A. Kaypro computers chosen
    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.
  • B. Cromemco
    Cromemco was an early microcomputer company known for producing advanced, high-performance S-100 bus systems and peripherals used in both hobbyist and professional environments.
  • C. Acorn Computers
    Acorn Computers was a pioneering British computer company best known for developing early personal computers and creating the ARM architecture that became foundational in modern computing devices.
  • D. Busicom
    Busicom was a Japanese calculator and electronics company best known for commissioning the Intel 4004, the first commercial microprocessor.
  • E. Potomac Computer Systems
    Potomac Computer Systems was the original name of the company that later became Epic Games, the prominent video game and software developer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.