Triple

T21219191
Position Surface form Disambiguated ID Type / Status
Subject iPad Pro E522919 entity
Predicate supportsAccessory P18380 FINISHED
Object Apple Pencil 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: Apple Pencil | Statement: [iPad Pro, supportsAccessory, Apple Pencil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Pencil
Context triple: [iPad Pro, supportsAccessory, Apple Pencil]
  • A. Apple Pencil chosen
    Apple Pencil is a pressure-sensitive stylus designed by Apple for precise drawing, writing, and navigation on compatible iPad models.
  • B. Huawei M-Pencil stylus
    The Huawei M-Pencil stylus is a pressure-sensitive digital pen designed for Huawei tablets, offering precise handwriting, drawing, and gesture controls for creative and productivity tasks.
  • C. Surface Pen
    The Surface Pen is a digital stylus designed for Microsoft Surface devices, enabling precise handwriting, drawing, and pressure-sensitive input on touchscreens.
  • D. Pixelbook Pen
    The Pixelbook Pen is a pressure-sensitive stylus designed by Google for precise drawing, writing, and navigation on compatible Pixel devices.
  • E. Samsung S Pen
    The Samsung S Pen is a pressure-sensitive stylus designed for Samsung devices, enabling precise writing, drawing, and navigation with advanced features like air commands and gesture controls.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73476d93481909c6c99dcc0b16123 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:43 p.m.