Triple

T22374524
Position Surface form Disambiguated ID Type / Status
Subject TJ Holowaychuk E553120 entity
Predicate knownFor P22 FINISHED
Object Express web framework 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: Express web framework | Statement: [TJ Holowaychuk, knownFor, Express web framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Express web framework
Context triple: [TJ Holowaychuk, knownFor, Express web framework]
  • A. Express.js chosen
    Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
  • B. Starlette web framework
    Starlette is a lightweight, high-performance ASGI web framework for Python, designed for building asynchronous web services and APIs.
  • C. Koa web framework
    Koa is a minimalist, modern Node.js web framework designed by TJ Holowaychuk to provide a smaller, more expressive, and robust foundation for web applications and APIs using async functions.
  • D. Pylons web framework
    Pylons is a lightweight, Python-based web framework focused on flexibility and reusability, combining components from multiple libraries to build web applications.
  • E. Phoenix Framework
    Phoenix Framework is an Elixir-based web development framework known for its high performance, real-time capabilities, and productive developer experience inspired by Ruby on Rails.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15806b534819083716c2b090ede42 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:45 p.m.