Triple

T2016889
Position Surface form Disambiguated ID Type / Status
Subject Garrett Camp E44014 entity
Predicate founded P104 FINISHED
Object StumbleUpon
StumbleUpon was a popular discovery and recommendation platform that let users "stumble" through personalized web content based on their interests.
 E227393 NE FINISHED

How this triple was built (4 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: StumbleUpon | Statement: [Garrett Camp, founded, StumbleUpon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: StumbleUpon
Context triple: [Garrett Camp, founded, StumbleUpon]
  • A. del.icio.us
    del.icio.us was a pioneering social bookmarking web service that allowed users to save, tag, and share links online.
  • B. Diigo
    Diigo is a social bookmarking and web annotation service that lets users save, tag, highlight, and share online resources.
  • 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. Tumblr
    Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: StumbleUpon
Triple: [Garrett Camp, founded, StumbleUpon]
Generated description
StumbleUpon was a popular discovery and recommendation platform that let users "stumble" through personalized web content based on their interests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: StumbleUpon
Target entity description: StumbleUpon was a popular discovery and recommendation platform that let users "stumble" through personalized web content based on their interests.
  • A. del.icio.us
    del.icio.us was a pioneering social bookmarking web service that allowed users to save, tag, and share links online.
  • B. Diigo
    Diigo is a social bookmarking and web annotation service that lets users save, tag, highlight, and share online resources.
  • 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. Tumblr
    Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
  • 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. chosen

Provenance (5 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ccdb7c81909f6b3c96f79fcdfc completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af1547481909d5f2ca9c4715ace completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b76f0fc8190bb5f40689ee7f8fe completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c586bd88190ae23e84291d2fe81 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:38 p.m.