Triple

T19452093
Position Surface form Disambiguated ID Type / Status
Subject OS X El Capitan E486634 entity
Predicate supports P516 FINISHED
Object iMac 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: iMac | Statement: [OS X El Capitan, supports, iMac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iMac
Context triple: [OS X El Capitan, supports, iMac]
  • A. iMac chosen
    The iMac is Apple’s all-in-one desktop computer line known for integrating powerful hardware with a slim, minimalist display-focused design.
  • B. Mac mini
    The Mac mini is a compact desktop computer designed by Apple that offers full macOS functionality in a small, versatile form factor suitable for both consumer and professional use.
  • C. MacBook
    MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
  • D. MacBook Pro
    The MacBook Pro is Apple’s high-performance line of professional-grade laptop computers known for their powerful hardware, premium design, and macOS operating system.
  • E. Apple eMac
    The Apple eMac is an all-in-one desktop computer introduced by Apple in the early 2000s, originally aimed at the education market and known for its CRT display and compact, translucent design.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63392aab08190aab09b7c356e5b10 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.