Triple

T17674521
Position Surface form Disambiguated ID Type / Status
Subject Charles Nutter E440611 entity
Predicate notableProject P4 FINISHED
Object JRuby NE NERFINISHED

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: JRuby | Statement: [Charles Nutter, notableProject, JRuby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JRuby
Context triple: [Charles Nutter, notableProject, JRuby]
  • A. JRuby chosen
    JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
  • B. CRuby
    CRuby is the standard, reference implementation of the Ruby programming language, written in C and originally created by Yukihiro "Matz" Matsumoto.
  • C. IronRuby
    IronRuby is an implementation of the Ruby programming language built to run on Microsoft's .NET Common Language Runtime (CLR), enabling Ruby code to interoperate with .NET libraries and applications.
  • D. Matz's Ruby Interpreter
    Matz's Ruby Interpreter is the original and most widely used reference implementation of the Ruby programming language, created by Yukihiro "Matz" Matsumoto.
  • E. TruffleRuby
    TruffleRuby is a high-performance implementation of the Ruby programming language built on the GraalVM platform, aiming to provide faster execution and improved tooling compatibility.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6ba22081909e2099490c047378 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.