Triple

T658098
Position Surface form Disambiguated ID Type / Status
Subject Macintosh SE E11692 entity
Predicate productLine P3585 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: [Macintosh SE, productLine, Macintosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macintosh
Context triple: [Macintosh SE, productLine, 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. Mac
    Mac is one of the main characters on the sitcom "It's Always Sunny in Philadelphia," known for his delusional self-image, obsession with toughness and martial arts, and often misguided religious zeal.
  • D. iMac
    The iMac is Apple’s all-in-one desktop computer line known for integrating powerful hardware with a slim, minimalist display-focused design.
  • E. Apple Lisa
    Apple Lisa was an early 1980s Apple personal computer notable for pioneering a graphical user interface and mouse-driven desktop environment.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e331b148190aec0181dccbd5c62 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:36 p.m.