Triple

T22446849
Position Surface form Disambiguated ID Type / Status
Subject Redux Thunk E554882 entity
Predicate commonlyUsedWith P3100 FINISHED
Object React Redux 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: React Redux | Statement: [Redux Thunk, commonlyUsedWith, React Redux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React Redux
Context triple: [Redux Thunk, commonlyUsedWith, React Redux]
  • A. React-Redux chosen
    React-Redux is the official React binding library for Redux, providing tools to efficiently connect React components to a centralized state store.
  • B. 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.
  • C. Redux ecosystem
    The Redux ecosystem is the broader collection of tools, libraries, and patterns built around the Redux state management library to simplify and enhance managing application state in JavaScript apps.
  • D. Redux Thunk
    Redux Thunk is a popular middleware for Redux that enables writing action creators as functions to handle asynchronous logic and side effects in a Redux application.
  • E. React
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4803908190990280ebd258cb03 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:47 p.m.