Triple

T501316
Position Surface form Disambiguated ID Type / Status
Subject Mac Pro E10406 entity
Predicate platform P1292 FINISHED
Object Macintosh E1458 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: Macintosh | Statement: [Mac Pro, platform, Macintosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macintosh
Context triple: [Mac Pro, platform, Macintosh]
  • A. Apple Macintosh computers chosen
    Apple Macintosh computers are a line of personal computers designed and sold by Apple Inc., known for their distinctive macOS operating system, integrated hardware–software ecosystem, and strong presence in creative and professional markets.
  • B. Mac
    Mac is Apple’s line of personal computers known for their sleek hardware design and tight integration with the macOS operating system.
  • C. iMac
    The iMac is Apple’s all-in-one desktop computer line known for integrating powerful hardware with a slim, minimalist display-focused design.
  • D. Apple Lisa
    Apple Lisa was an early 1980s Apple personal computer notable for pioneering a graphical user interface and mouse-driven desktop environment.
  • E. PowerBook
    PowerBook is a line of Apple Macintosh laptop computers introduced in the early 1990s that helped define modern notebook 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f131e2148190afd43402f505c73e completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab1bc2e48190b15d777af2a76a1a completed March 1, 2026, 9:09 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.