Triple

T93286
Position Surface form Disambiguated ID Type / Status
Subject Steve Jobs E1874 entity
Predicate knownFor P22 FINISHED
Object Mac OS X E6427 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: Mac OS X | Statement: [Steve Jobs, knownFor, Mac OS X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mac OS X
Context triple: [Steve Jobs, knownFor, Mac OS X]
  • A. macOS chosen
    macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
  • B. Classic Mac OS
    Classic Mac OS is the original graphical operating system for Apple’s Macintosh computers, known for its intuitive interface, single-tasking roots, and evolution from System 1 through Mac OS 9 before being replaced by macOS.
  • C. iOS
    iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
  • D. USBOS
    USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
  • E. iMac
    The iMac is Apple’s all-in-one desktop computer line known for integrating powerful hardware with a slim, minimalist display-focused design.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd28e988190bde699647ee5b16b completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266ebb994819085fb84dd1d2d25ad completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.