Triple

T2413120
Position Surface form Disambiguated ID Type / Status
Subject Bitmoji E52239 entity
Predicate hasFeature P182 FINISHED
Object Bitmoji keyboard E52239 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: Bitmoji keyboard | Statement: [Bitmoji, hasFeature, Bitmoji keyboard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitmoji keyboard
Context triple: [Bitmoji, hasFeature, Bitmoji keyboard]
  • A. Bitmoji chosen
    Bitmoji is a popular app and feature that lets users create personalized cartoon avatars and use them as expressive stickers across messaging and social platforms.
  • B. Animoji and Memoji
    Animoji and Memoji are Apple’s animated, customizable characters that mirror a user’s facial expressions and are used in messaging and video calls on compatible Apple devices.
  • C. Smart Keyboard
    Smart Keyboard is Apple’s detachable, full‑size keyboard accessory designed to connect to and power directly from compatible iPad models via the Smart Connector.
  • D. Bebot
    "Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
  • E. Adobe Character Animator
    Adobe Character Animator is a motion-capture and animation software that lets users bring 2D characters to life in real time using webcam and microphone inputs.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc92a4e1c8190819fa676295ac145 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3f00cc481909c2841a6f2ebadad completed March 9, 2026, 11:50 a.m.
Created at: March 6, 2026, 9:41 p.m.