Triple

T9002973
Position Surface form Disambiguated ID Type / Status
Subject OS X Mountain Lion E215078 entity
Predicate includedFeature P1393 FINISHED
Object Messages app E215087 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: Messages app | Statement: [OS X Mountain Lion, includedFeature, Messages app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messages app
Context triple: [OS X Mountain Lion, includedFeature, Messages app]
  • A. Messages app chosen
    Messages app is Apple’s built-in messaging application for iOS, iPadOS, and macOS that supports SMS, MMS, and rich iMessage conversations across Apple devices.
  • B. Messages
    Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
  • C. Google Messages
    Google Messages is Google's default SMS, RCS, and chat messaging app for Android that supports rich media, group chats, and end-to-end encryption for certain conversations.
  • D. Messenger
    Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
  • E. Messenger
    Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
  • 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_69cc6957bd5481908ce74f32f8d197de 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.