Triple

T5451986
Position Surface form Disambiguated ID Type / Status
Subject iMessage E122390 entity
Predicate platform P1292 FINISHED
Object Apple Vision Pro E41466 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 Vision Pro | Statement: [iMessage, platform, Apple Vision Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Vision Pro
Context triple: [iMessage, platform, Apple Vision Pro]
  • A. Vision Pro chosen
    Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
  • B. Oculus Quest 2
    The Oculus Quest 2 is a standalone virtual reality headset known for its wireless design, inside-out tracking, and strong content library, making it one of the most popular consumer VR devices.
  • C. Oculus Quest
    Oculus Quest is a standalone virtual reality headset known for its inside-out tracking, wireless operation, and consumer-friendly VR gaming experience.
  • D. AirPods Max
    AirPods Max are Apple’s premium over-ear wireless headphones featuring active noise cancellation, spatial audio, and high-fidelity sound.
  • E. Microsoft HoloLens
    Microsoft HoloLens is a mixed reality smart headset developed by Microsoft that overlays holographic content onto the real world for enterprise, industrial, and creative applications.
  • 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.