Triple

T3420923
Position Surface form Disambiguated ID Type / Status
Subject Google Camera E72112 entity
Predicate hasFeature P182 FINISHED
Object Motion Photos E215111 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: Motion Photos | Statement: [Google Camera, hasFeature, Motion Photos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motion Photos
Context triple: [Google Camera, hasFeature, Motion Photos]
  • A. Live Photos chosen
    Live Photos is an Apple feature that captures a short moving image with sound around the moment a photo is taken, creating a brief, animated clip instead of a static picture.
  • B. Enhanced Motion Vehicle
    The Enhanced Motion Vehicle is an advanced ride system that combines motion simulation with synchronized visuals and effects to create an immersive, dynamic theme park experience.
  • C. MPG
    MPG is the commonly used abbreviation for the Max Planck Society, Germany’s leading network of research institutes in the natural sciences, life sciences, and humanities.
  • D. CacheCam
    CacheCam is a specialized camera on NASA's Perseverance rover designed to document and inspect rock and soil samples destined for potential return to Earth.
  • E. Motion
    Motion is Apple's professional motion graphics and visual effects software used to create dynamic titles, transitions, and effects, particularly for video projects edited in Final Cut Pro.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94eb9e8819087a525df4550914b completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354701e908190a8a7f14ae578fa5d completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.