Triple

T866590
Position Surface form Disambiguated ID Type / Status
Subject Dotdash Meredith E18715 entity
Predicate owns P347 FINISHED
Object Lifewire E66252 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: Lifewire | Statement: [Dotdash Meredith, owns, Lifewire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifewire
Context triple: [Dotdash Meredith, owns, Lifewire]
  • A. Technium
    Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
  • B. Engadget chosen
    Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
  • C. Cox Internet
    Cox Internet is a major U.S. broadband and telecommunications service provider offering high-speed internet and related digital services to residential and business customers.
  • D. LWP
    LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
  • E. World Wide Web
    The World Wide Web is a global system of interlinked hypertext documents and resources accessed via the internet, enabling users worldwide to browse, share, and interact with information through web browsers.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7cb1888190a46c16b30256451b completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c9e7ec819081d58634fe0efdcb completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.