Triple

T3036088
Position Surface form Disambiguated ID Type / Status
Subject Mr. T E83011 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: [Mr. T, platform, Macintosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macintosh
Context triple: [Mr. T, 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. 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2bb60c8190b1721f832f2581a1 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224b2157881908d278be87bec5315 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:01 p.m.