Triple

T5964717
Position Surface form Disambiguated ID Type / Status
Subject Evan You E132722 entity
Predicate notableProject P4 FINISHED
Object Vuex E131072 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: Vuex | Statement: [Evan You, notableProject, Vuex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vuex
Context triple: [Evan You, notableProject, Vuex]
  • A. Vuex chosen
    Vuex is the official state management library for Vue.js applications, providing a centralized store and predictable state handling patterns.
  • B. 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.
  • C. Redux
    Redux is a predictable state management library for JavaScript applications, commonly used with React to centralize and control application state through a unidirectional data flow.
  • D. NgRx
    NgRx is a set of reactive state management libraries for Angular applications, inspired by Redux and built on RxJS to help manage global and local application state in a predictable way.
  • E. Redux Toolkit
    Redux Toolkit is the official, opinionated toolset for efficient Redux development, providing simplified APIs and best practices for state management in JavaScript applications.
  • 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.