Triple

T1682719
Position Surface form Disambiguated ID Type / Status
Subject Kevin Systrom E36371 entity
Predicate notableWork P4 FINISHED
Object Instagram mobile app E5329 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: Instagram mobile app | Statement: [Kevin Systrom, notableWork, Instagram mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Instagram mobile app
Context triple: [Kevin Systrom, notableWork, Instagram mobile app]
  • A. Instagram chosen
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • B. Snapchat
    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.
  • C. Periscope
    Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
  • D. Instagram Reels
    Instagram Reels is a short-form video feature within Instagram that lets users create, edit, and share brief, often music-backed clips for discovery and entertainment.
  • E. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627ab38081909d5f264ca49e036a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.