Triple

T732686
Position Surface form Disambiguated ID Type / Status
Subject Brendan Eich E14864 entity
Predicate notableWork P4 FINISHED
Object JavaScript E3742 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: JavaScript | Statement: [Brendan Eich, notableWork, JavaScript]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JavaScript
Context triple: [Brendan Eich, notableWork, JavaScript]
  • A. JavaScript chosen
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • B. JS
    JS is the commonly used abbreviation for the United States military’s Joint Staff, which assists the Chairman of the Joint Chiefs of Staff in strategic planning and coordination among the armed services.
  • C. ECMAScript
    ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
  • D. JScript .NET
    JScript .NET is a Microsoft-developed scripting language that extends JScript with .NET Framework features, enabling object-oriented programming and integration with the .NET runtime.
  • E. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d5a6b48190a2c81bfc3c6faa25 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5c9d248190b0bebfd0e999643a completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.