Triple

T2663172
Position Surface form Disambiguated ID Type / Status
Subject 13-inch MacBook Pro (M2, 2022) E54771 entity
Predicate productLine P3585 FINISHED
Object MacBook Pro E6428 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: MacBook Pro | Statement: [13-inch MacBook Pro (M2, 2022), productLine, MacBook Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacBook Pro
Context triple: [13-inch MacBook Pro (M2, 2022), productLine, MacBook Pro]
  • A. MacBook Pro chosen
    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.
  • B. MacBook
    MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
  • C. 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.
  • D. Mac Pro
    The Mac Pro is Apple’s high-end, modular desktop workstation designed for professional users who need extreme performance and expandability.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98dc36d8819086fc739c324f0761 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.