Triple

T5922633
Position Surface form Disambiguated ID Type / Status
Subject Netscape JavaScript language E131733 entity
Predicate laterName P65 FINISHED
Object LiveScript E17652 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: LiveScript | Statement: [Netscape JavaScript language, laterName, LiveScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LiveScript
Context triple: [Netscape JavaScript language, laterName, LiveScript]
  • A. PureScript
    PureScript is a strongly-typed, purely functional programming language that compiles to JavaScript and is heavily inspired by Haskell.
  • B. CoffeeScript chosen
    CoffeeScript is a programming language that compiles to JavaScript, offering a more concise, Python- and Ruby-like syntax for writing web application code.
  • C. Svelte
    Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
  • D. Moonscript
    Moonscript is a high-level programming language that compiles to Lua, offering a cleaner, more expressive syntax while targeting the Lua runtime.
  • E. Deno
    Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c041d4f08190863141b037b1c05f completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.