Triple

T9003745
Position Surface form Disambiguated ID Type / Status
Subject Reminders E215092 entity
Predicate integratesWith P1075 FINISHED
Object Calendar (Apple) E240725 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: Calendar (Apple) | Statement: [Reminders, integratesWith, Calendar (Apple)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calendar (Apple)
Context triple: [Reminders, integratesWith, Calendar (Apple)]
  • A. Apple Calendar chosen
    Apple Calendar is a built-in calendar and scheduling app for Apple devices that helps users manage events, reminders, and appointments across their ecosystem.
  • B. Apple Calendar Server
    Apple Calendar Server is an open-source CalDAV-based calendar and scheduling server developed by Apple for managing and sharing calendar data across multiple users and devices.
  • C. Appel
    Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
  • D. Apple iWork
    Apple iWork is Apple's suite of productivity applications, including Pages, Numbers, and Keynote, designed for document creation, spreadsheets, and presentations across macOS, iOS, and iCloud.
  • E. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e0a28c81909b6d2c6cd80e24d4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.