Triple

T364491
Position Surface form Disambiguated ID Type / Status
Subject NeXT Inc. E7928 entity
Predicate operatingSystemBasisFor P1292 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: [NeXT Inc., operatingSystemBasisFor, tvOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tvOS
Context triple: [NeXT Inc., operatingSystemBasisFor, 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
    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.
  • D. 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.
  • E. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee29ede0819095279af95b53e350 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca938988190b4490e086f25474e completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.