Triple

T18266255
Position Surface form Disambiguated ID Type / Status
Subject noweb E437491 entity
Predicate distribution P1356 FINISHED
Object macOS NE NERFINISHED

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: macOS | Statement: [noweb, distribution, macOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: macOS
Context triple: [noweb, distribution, macOS]
  • 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. OSX
    OSX is the Orquesta Sinfónica de Xalapa, one of Mexico’s oldest and most prestigious symphony orchestras, based in Xalapa, Veracruz.
  • C. Mac
    Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • D. Mac
    Mac is a Gaelic patronymic prefix meaning "son of," commonly used in Scottish and Irish surnames.
  • E. Mac
    Mac is the affectionate nickname used by fans for the resourceful TV character Angus MacGyver from the action-adventure series "MacGyver."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7af85c81909859e7247738a535 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.