Triple

T3172743
Position Surface form Disambiguated ID Type / Status
Subject Ruby Rose E66391 entity
Predicate givenName P17 FINISHED
Object Ruby
Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
E17647 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: Ruby | Statement: [Ruby Rose, givenName, Ruby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby
Context triple: [Ruby Rose, givenName, Ruby]
  • A. Ruby
    Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
  • B. Ruby
    Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
  • C. Ruby
    Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
  • D. 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.
  • E. JRuby
    JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
  • 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: Ruby
Triple: [Ruby Rose, givenName, Ruby]
Generated description
Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ruby
Target entity description: Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
  • A. Ruby chosen
    Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
  • B. Ruby
    Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
  • 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 translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
  • E. JRuby
    JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
  • F. None of above.

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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e9f04c8190933e893e59e9f342 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b23699a6fc81908b15c7e23340f476 completed March 12, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_69b23a51a21c819083a4986e5b3ac63d completed March 12, 2026, 4 a.m.
Created at: March 8, 2026, 3:06 p.m.