Triple

T944129
Position Surface form Disambiguated ID Type / Status
Subject MySpace E20372 entity
Predicate competitor P1375 FINISHED
Object Friendster
Friendster was one of the earliest major social networking websites, popular in the early 2000s for connecting friends online before eventually declining and shutting down.
 E111035 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: Friendster | Statement: [MySpace, competitor, Friendster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Friendster
Context triple: [MySpace, competitor, Friendster]
  • A. 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.
  • B. Ning
    Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
  • C. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • D. Excite
    Excite was a pioneering early web portal and search engine that played a major role in the first wave of consumer internet services in the 1990s.
  • E. Lycos
    Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
  • 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: Friendster
Triple: [MySpace, competitor, Friendster]
Generated description
Friendster was one of the earliest major social networking websites, popular in the early 2000s for connecting friends online before eventually declining and shutting down.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Friendster
Target entity description: Friendster was one of the earliest major social networking websites, popular in the early 2000s for connecting friends online before eventually declining and shutting down.
  • A. 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.
  • B. Ning
    Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
  • C. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • D. Excite
    Excite was a pioneering early web portal and search engine that played a major role in the first wave of consumer internet services in the 1990s.
  • E. Lycos
    Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a3ed3881908386af140477c514 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e585208190bf477bf78d162e84 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a83365d590819085d8e92c1a69aa10 completed March 4, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69a834268c388190ac725f48be8f8ea6 completed March 4, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:40 p.m.