Triple

T1041620
Position Surface form Disambiguated ID Type / Status
Subject Automattic E22480 entity
Predicate develops P73 FINISHED
Object Simplenote E120448 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: Simplenote | Statement: [Automattic, develops, Simplenote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simplenote
Context triple: [Automattic, develops, Simplenote]
  • A. Simplenote chosen
    Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
  • B. OneNote
    OneNote is Microsoft's digital note-taking application that lets users capture, organize, and sync notes, drawings, and multimedia content across devices.
  • C. 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.
  • D. Diigo
    Diigo is a social bookmarking and web annotation service that lets users save, tag, highlight, and share online resources.
  • E. Dropbox Paper
    Dropbox Paper is a collaborative online document-editing and note-taking tool that lets teams create, share, and work together on content in real time.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429ad45481908641fcaf72f7d1b9 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.