Triple

T445323
Position Surface form Disambiguated ID Type / Status
Subject Shana Knizhnik E7003 entity
Predicate hasSocialMediaPresence P57 FINISHED
Object Tumblr E3609 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: Tumblr | Statement: [Shana Knizhnik, hasSocialMediaPresence, Tumblr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumblr
Context triple: [Shana Knizhnik, hasSocialMediaPresence, Tumblr]
  • A. Tumblr chosen
    Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
  • B. MySpace
    MySpace is a pioneering early-2000s social networking website that allowed users to create customizable profile pages, connect with friends, and share music and other media.
  • C. Ning
    Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
  • D. Blogger
    Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
  • E. Reddit
    Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef479ec08190a659eead6eb0d4d0 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a442a4674081909b7255b536014b40 completed March 1, 2026, 1:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.