Triple

T6961830
Position Surface form Disambiguated ID Type / Status
Subject Adobe Fresco E161386 entity
Predicate platform P1292 FINISHED
Object iPad E12499 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: iPad | Statement: [Adobe Fresco, platform, iPad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPad
Context triple: [Adobe Fresco, platform, iPad]
  • A. iPad chosen
    The iPad is Apple's line of touchscreen tablet computers that popularized modern tablet computing with its sleek design, intuitive interface, and integration into the broader Apple ecosystem.
  • B. iPad Pro
    The iPad Pro is Apple's high-end tablet line designed for professional and creative work, featuring powerful processors, large high-resolution displays, and support for accessories like the Apple Pencil and Magic Keyboard.
  • C. iPhone
    The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
  • D. MacBook
    MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
  • E. iBook
    The iBook was Apple’s line of consumer-oriented, portable Macintosh laptops designed for education and everyday use in the late 1990s and early 2000s.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf07e3481909aa79b8e0f1b1be7 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589c587c8190b97523b5ac2ab958 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.