Triple

T5964271
Position Surface form Disambiguated ID Type / Status
Subject Tilde E132713 entity
Predicate contributedTo P37 FINISHED
Object Ember.js E559059 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: Ember.js | Statement: [Tilde, contributedTo, Ember.js]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ember.js
Context triple: [Tilde, contributedTo, Ember.js]
  • A. Ember.js chosen
    Ember.js is an open-source JavaScript framework for building ambitious, large-scale web applications using a convention-over-configuration approach.
  • B. 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.
  • C. Handlebars
    Handlebars is a popular logic-less templating engine for JavaScript that enables clean, readable templates with embedded expressions for dynamic HTML generation.
  • D. Underscore.js
    Underscore.js is a popular JavaScript utility library that provides functional programming helpers for working with arrays, objects, and other data types.
  • E. Sails.js
    Sails.js is a Node.js MVC framework designed for building data-driven, real-time web applications with a structure similar to frameworks like Ruby on Rails.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113585ad88190a35d549448b10def completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:03 p.m.