Triple

T2585446
Position Surface form Disambiguated ID Type / Status
Subject iMac G3 E57187 entity
Predicate productLine P3585 FINISHED
Object iMac E8195 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: iMac | Statement: [iMac G3, productLine, iMac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iMac
Context triple: [iMac G3, productLine, 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. Mac Pro
    The Mac Pro is Apple’s high-end, modular desktop workstation designed for professional users who need extreme performance and expandability.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cd07588190b3cb8cc348f12938 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6581f6fc819099ea28ecbb0093d7 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.