Triple

T8602716
Position Surface form Disambiguated ID Type / Status
Subject Mac OS X 10.2 Jaguar E203717 entity
Predicate includesApplication P14571 FINISHED
Object iChat E66247 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: iChat | Statement: [Mac OS X 10.2 Jaguar, includesApplication, iChat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iChat
Context triple: [Mac OS X 10.2 Jaguar, includesApplication, iChat]
  • A. Apple iChat chosen
    Apple iChat is Apple’s former instant messaging and video chat application for macOS that integrated AIM, Jabber, and later FaceTime-style communication features.
  • B. AOL Instant Messenger
    AOL Instant Messenger was a pioneering late-1990s and early-2000s instant messaging service that popularized online chat and status-based communication for mainstream internet users.
  • C. ICQ
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • D. iMessage
    iMessage is Apple’s encrypted instant messaging service that enables text, media, and rich communication features between users of Apple devices.
  • E. BlackBerry Messenger
    BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.