Triple

T22650153
Position Surface form Disambiguated ID Type / Status
Subject Ryan Carniato E559069 entity
Predicate influencedBy P9 FINISHED
Object Knockout.js 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: Knockout.js | Statement: [Ryan Carniato, influencedBy, Knockout.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knockout.js
Context triple: [Ryan Carniato, influencedBy, Knockout.js]
  • A. Backbone.js
    Backbone.js is a lightweight JavaScript framework that provides structure to web applications by offering models, collections, views, and routers built on top of RESTful JSON and event-driven architecture.
  • B. Ember.js
    Ember.js is an open-source JavaScript framework for building ambitious, large-scale web applications using a convention-over-configuration approach.
  • C. MVVM chosen
    MVVM (Model–View–ViewModel) is a software architectural pattern that separates an application's user interface from its business logic and data models to improve testability, maintainability, and modularity.
  • D. AngularJS
    AngularJS is a pioneering JavaScript framework developed by Google that introduced a structured, declarative approach to building dynamic single-page web applications.
  • E. 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.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703b40b88190aec5cf2fa28bfcbf completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.