Triple

T4108410
Position Surface form Disambiguated ID Type / Status
Subject System 6 E88509 entity
Predicate supports P516 FINISHED
Object QuickDraw E38937 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: QuickDraw | Statement: [System 6, supports, QuickDraw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QuickDraw
Context triple: [System 6, supports, QuickDraw]
  • A. DALL·E
    DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
  • B. Sketchpad
    Sketchpad is a pioneering early computer graphics program, created by Ivan Sutherland in the 1960s, that introduced fundamental concepts of interactive graphical user interfaces and computer-aided design.
  • C. StarDraw
    StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
  • D. QuickDraw graphics system chosen
    The QuickDraw graphics system was Apple’s 2D graphics library and rendering engine that powered the visual interface and drawing operations of the classic Mac OS.
  • E. LisaDraw
    LisaDraw was a pioneering graphical drawing and diagramming application for the Apple Lisa computer, notable for its early use of a mouse-driven, WYSIWYG interface.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01da2b88819088a45401c0ec743a completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:40 p.m.