Triple

T6699815
Position Surface form Disambiguated ID Type / Status
Subject Maksymilian Rafailovych Levchyn E152848 entity
Predicate boardMemberOf P10 FINISHED
Object Evernote E134695 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: Evernote | Statement: [Maksymilian Rafailovych Levchyn, boardMemberOf, Evernote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evernote
Context triple: [Maksymilian Rafailovych Levchyn, boardMemberOf, Evernote]
  • A. Evernote chosen
    Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
  • B. Simplenote
    Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
  • C. OneNote
    OneNote is Microsoft's digital note-taking application that lets users capture, organize, and sync notes, drawings, and multimedia content across devices.
  • D. Google Keep
    Google Keep is a note-taking and organizing app by Google that lets users quickly capture, sync, and access notes, lists, and reminders across devices.
  • E. Notion
    Notion is a popular productivity and collaboration platform that combines note-taking, databases, task management, and wikis into a single customizable workspace.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a7355081908a0acfa8d2bb4c09 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bfcb048190b682f4ec7e404b3e completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.