Triple

T5451981
Position Surface form Disambiguated ID Type / Status
Subject iMessage E122390 entity
Predicate operatingSystem P1593 FINISHED
Object tvOS E21925 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: tvOS | Statement: [iMessage, operatingSystem, tvOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tvOS
Context triple: [iMessage, operatingSystem, tvOS]
  • A. tvOS chosen
    tvOS is Apple’s operating system designed specifically for its Apple TV digital media players, enabling apps, streaming, and interactive entertainment on the television.
  • B. iPadOS
    iPadOS is Apple’s tablet-focused operating system that builds on iOS with features and interfaces optimized for the iPad’s larger display and multitasking capabilities.
  • C. Apple TV (macOS app)
    Apple TV (macOS app) is Apple's media application on macOS for streaming, purchasing, and organizing movies and TV shows, integrating both Apple TV+ and the user's existing video library.
  • D. Apple TV
    Apple TV is a digital media player and streaming device by Apple that lets users watch movies, TV shows, and other content from various apps and services on their television.
  • E. visionOS
    visionOS is Apple’s mixed-reality operating system designed for spatial computing on Apple Vision Pro, integrating 3D interfaces, gesture and eye tracking, and immersive app experiences.
  • 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_69bf70d5dba4819086585fba83134f2b completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:08 p.m.