Triple

T5451985
Position Surface form Disambiguated ID Type / Status
Subject iMessage E122390 entity
Predicate platform P1292 FINISHED
Object Apple Watch E20623 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: Apple Watch | Statement: [iMessage, platform, Apple Watch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Watch
Context triple: [iMessage, platform, Apple Watch]
  • A. Apple Watch chosen
    The Apple Watch is a smartwatch line that integrates closely with the iPhone to provide fitness tracking, health monitoring, notifications, and app functionality on the wrist.
  • B. WatchKit
    WatchKit is Apple’s framework that enables developers to build and manage user interfaces and interactions for apps running on Apple Watch.
  • C. watchOS
    watchOS is Apple’s smartwatch operating system that powers the Apple Watch, providing fitness tracking, notifications, and app functionality tightly integrated with iOS and the Apple ecosystem.
  • D. Samsung Galaxy Watch
    The Samsung Galaxy Watch is a line of smartwatches that extends Samsung’s Galaxy ecosystem with fitness tracking, notifications, and app connectivity on the wrist.
  • E. Samsung Galaxy Watch5
    The Samsung Galaxy Watch5 is a premium smartwatch that combines Samsung’s hardware and health-tracking features with Google’s Wear OS platform for apps and services.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91dfec248190af6f9c793a99c34c completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf413d25008190b100c8297d6063b1 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.