Triple

T22374266
Position Surface form Disambiguated ID Type / Status
Subject Misko Hevery E553114 entity
Predicate notableWork P4 FINISHED
Object AngularJS 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: AngularJS | Statement: [Misko Hevery, notableWork, AngularJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AngularJS
Context triple: [Misko Hevery, notableWork, AngularJS]
  • A. AngularJS chosen
    AngularJS is a pioneering JavaScript framework developed by Google that introduced a structured, declarative approach to building dynamic single-page web applications.
  • B. Angular
    Angular is a popular TypeScript-based open-source web application framework developed by Google for building dynamic, single-page client applications.
  • C. Vue.js
    Vue.js is a progressive JavaScript framework for building user interfaces and single-page applications with a focus on simplicity and reactive data binding.
  • D. Angular Material
    Angular Material is a UI component library for Angular that provides reusable, accessible, and Material Design–compliant interface elements for web applications.
  • E. AngularDart
    AngularDart is a web application framework for building client-side apps in the Dart programming language, offering a structured, component-based architecture similar to Angular for TypeScript.
  • 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.