Triple

T3789549
Position Surface form Disambiguated ID Type / Status
Subject Pixel 8a E89611 entity
Predicate supports P516 FINISHED
Object Magic Eraser E80215 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: Magic Eraser | Statement: [Pixel 8a, supports, Magic Eraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic Eraser
Context triple: [Pixel 8a, supports, Magic Eraser]
  • A. Magic Eraser chosen
    Magic Eraser is a Google Photos tool that uses AI to remove or camouflage unwanted objects and distractions from images.
  • B. Brillo
    Brillo is a lightweight, Android-based operating system developed by Google for powering and managing Internet of Things (IoT) devices.
  • C. Chalk
    Chalk is a pale, off-white color option commonly used for consumer electronics and home devices to provide a neutral, minimalist appearance.
  • D. Wand
    Wand is an American rock band known for its eclectic blend of psychedelic, garage, and experimental sounds, often released through the independent label Drag City.
  • E. Magik Markers
    Magik Markers is an American noise rock band known for its abrasive, improvisational sound and association with the underground indie and experimental music scenes.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76733248190a24a1143c64bd6c6 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.