Triple

T10096372
Position Surface form Disambiguated ID Type / Status
Subject Justin.tv E215876 entity
Predicate programmingLanguage P1592 FINISHED
Object Ruby on Rails E96207 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: Ruby on Rails | Statement: [Justin.tv, programmingLanguage, Ruby on Rails]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby on Rails
Context triple: [Justin.tv, programmingLanguage, Ruby on Rails]
  • A. Ruby on Rails chosen
    Ruby on Rails is a popular open-source web application framework that emphasizes convention over configuration and rapid development for building database-backed applications.
  • B. The Rack
    The Rack is a 1956 courtroom drama film about the psychological and moral aftermath of a Korean War veteran’s imprisonment and alleged collaboration with the enemy.
  • C. Ruby
    Ruby is a character from the children's animated television series "Dot.," which follows a young tech-savvy girl and her friends as they explore the world using technology and curiosity.
  • D. Ruby
    Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
  • E. Ruby
    Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6b8d604819094db099981219e72 completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:02 p.m.