Triple

T2413232
Position Surface form Disambiguated ID Type / Status
Subject Snap Camera E52241 entity
Predicate relatedTo P37 FINISHED
Object Snapchat E52237 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: Snapchat | Statement: [Snap Camera, relatedTo, Snapchat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snapchat
Context triple: [Snap Camera, relatedTo, Snapchat]
  • A. Snapchat chosen
    Snapchat is a multimedia messaging and social media app known for its disappearing photos and videos, creative filters, and Stories feature popular among younger users.
  • B. Snapchat Lenses
    Snapchat Lenses are augmented reality filters that overlay interactive, animated effects onto users’ faces and surroundings in real time within the Snapchat ecosystem.
  • C. Snapchat Lens Explorer
    Snapchat Lens Explorer is a discovery interface within Snapchat that lets users browse, search, and try a wide variety of user-created augmented reality Lenses.
  • D. Snap Camera
    Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
  • E. Snap
    Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
  • 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_69afa04046cc81908876e639d2144d8f completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:41 p.m.