Triple

T9232506
Position Surface form Disambiguated ID Type / Status
Subject Ivanka Trump’s #WomenWhoWork social media initiative E221851 entity
Predicate platformUsed P28726 FINISHED
Object Instagram 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 | Statement: [Ivanka Trump’s #WomenWhoWork social media initiative, platformUsed, Instagram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Instagram
Context triple: [Ivanka Trump’s #WomenWhoWork social media initiative, platformUsed, Instagram]
  • A. Instagram chosen
    Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
  • B. Instagram main feed
    Instagram main feed is the primary scrolling interface in the Instagram app where users view a curated stream of posts, including photos, videos, and Reels, from accounts they follow and recommended content.
  • C. Instagram Direct
    Instagram Direct is Instagram’s built-in private messaging feature that lets users send direct messages, photos, videos, and other content to individuals or groups.
  • D. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • E. Pinterest
    Pinterest is a visual discovery and bookmarking platform where users save and organize images and ideas into themed collections called boards.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1a7e9881908e0c11f242162017 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077bb5b10819083fd2de3ed7d69a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.