Triple

T16937859
Position Surface form Disambiguated ID Type / Status
Subject Ella Henderson E410875 entity
Predicate notableWork P4 FINISHED
Object React 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 | Statement: [Ella Henderson, notableWork, React]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: React
Context triple: [Ella Henderson, notableWork, React]
  • A. React chosen
    React is a popular open-source JavaScript library for building interactive user interfaces, particularly single-page web applications.
  • B. React Native
    React Native is a JavaScript framework developed by Meta for building native mobile applications for iOS and Android using React components.
  • C. 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.
  • D. JSX
    JSX is a JavaScript syntax extension that lets developers write HTML-like markup directly within JavaScript code, commonly used in modern UI libraries and frameworks.
  • 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 (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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2b88bc8190aeb7b07032478ae3 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe5210c8190873be6ccf2369b34 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.