Triple

T1931549
Position Surface form Disambiguated ID Type / Status
Subject Mac OS 9 E40955 entity
Predicate targetHardware P5090 FINISHED
Object iBook E11691 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: iBook | Statement: [Mac OS 9, targetHardware, iBook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iBook
Context triple: [Mac OS 9, targetHardware, iBook]
  • A. iBook chosen
    The iBook was Apple’s line of consumer-oriented, portable Macintosh laptops designed for education and everyday use in the late 1990s and early 2000s.
  • 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. PowerBook
    PowerBook is a line of Apple Macintosh laptop computers introduced in the early 1990s that helped define modern notebook design.
  • D. Macintosh Portable
    The Macintosh Portable is Apple’s first battery-powered Macintosh computer, a bulky early laptop introduced in 1989 that paved the way for the more compact PowerBook line.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ef29e0819081b37664224dee91 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.