Triple

T5964781
Position Surface form Disambiguated ID Type / Status
Subject Composition API E132723 entity
Predicate influencedBy P9 FINISHED
Object React Hooks E24480 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: React Hooks | Statement: [Composition API, influencedBy, React Hooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React Hooks
Context triple: [Composition API, influencedBy, React Hooks]
  • A. React chosen
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • B. React-Redux
    React-Redux is the official React binding library for Redux, providing tools to efficiently connect React components to a centralized state store.
  • C. Hooks
    Hooks is a surname most notably associated with American actor and producer Robert Hooks, a pioneering figure in Black theatre and film.
  • D. 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.
  • E. Next.js
    Next.js is a popular React-based framework for building server-rendered and statically generated web applications with features like routing, API routes, and performance optimizations built in.
  • 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_69c0e3f32e8481908a6075684287c412 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:03 p.m.