Triple

T9897809
Position Surface form Disambiguated ID Type / Status
Subject Surface Go E182218 entity
Predicate inputMethod P91 FINISHED
Object Surface Pen E34598 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: Surface Pen | Statement: [Surface Go, inputMethod, Surface Pen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surface Pen
Context triple: [Surface Go, inputMethod, Surface Pen]
  • A. Surface Pen chosen
    The Surface Pen is a digital stylus designed for Microsoft Surface devices, enabling precise handwriting, drawing, and pressure-sensitive input on touchscreens.
  • B. Apple Pencil
    Apple Pencil is a pressure-sensitive stylus designed by Apple for precise drawing, writing, and navigation on compatible iPad models.
  • C. Touch Cover
    Touch Cover is a thin, pressure-sensitive keyboard cover designed to magnetically attach to Microsoft Surface tablets, providing both screen protection and typing functionality.
  • D. Windows Ink
    Windows Ink is a digital pen and stylus input platform in Windows that enables natural handwriting, drawing, and annotation across compatible apps and devices.
  • E. Surface Pro
    Surface Pro is Microsoft's line of 2-in-1 detachable tablet-laptop devices running Windows, known for combining touchscreen portability with full PC functionality.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ac27d88190b8255f7e616f95c9 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb17ed548190a2510a667dd988ca completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.