Triple

T815664
Position Surface form Disambiguated ID Type / Status
Subject Ruby E17647 entity
Predicate influenced P9 FINISHED
Object Elixir
Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
 E96206 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: Elixir | Statement: [Ruby, influenced, Elixir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elixir
Context triple: [Ruby, influenced, Elixir]
  • A. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • B. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • C. Julia
    Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
  • D. Julia
    Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
  • E. Dart
    Dart is a client-optimized, object-oriented programming language developed by Google, primarily used for building web and cross-platform mobile applications (notably with the Flutter framework).
  • 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: Elixir
Triple: [Ruby, influenced, Elixir]
Generated description
Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elixir
Target entity description: Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
  • A. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • B. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • C. Julia
    Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
  • D. Julia
    Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
  • E. Dart
    Dart is a client-optimized, object-oriented programming language developed by Google, primarily used for building web and cross-platform mobile applications (notably with the Flutter framework).
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5157b08190b6c8f2fd455f261e completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8b0b0c8190a6226d6b8daade25 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a782eda49c8190bdaf4fb8db685071 completed March 4, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_69a784f6eee48190a348008b931d545b completed March 4, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:38 p.m.