Triple

T2889570
Position Surface form Disambiguated ID Type / Status
Subject Evil mode E59585 entity
Predicate integratesWith P1075 FINISHED
Object Org mode E59977 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: Org mode | Statement: [Evil mode, integratesWith, Org mode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Org mode
Context triple: [Evil mode, integratesWith, Org mode]
  • A. org-mode chosen
    org-mode is a powerful Emacs-based system for organizing notes, tasks, and documents using plain-text outlines and embedded markup.
  • B. Simplenote
    Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
  • C. Outlook Tasks
    Outlook Tasks is Microsoft's built-in task management feature in Outlook that lets users create, organize, and track to-dos alongside their email and calendar.
  • D. Asana
    Asana is a work management and collaboration software platform that helps teams organize, track, and manage their projects and tasks.
  • E. Microsoft To Do
    Microsoft To Do is a cloud-based task management app by Microsoft that helps users create, organize, and track personal and work to-do lists across devices.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04a68ac8190aaeafe52138beb74 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03179d7448190bcdbea164856aaa2 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:04 p.m.