Triple
T415823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerBook |
E9590
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | Mac OS |
E6173
|
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: Mac OS | Statement: [PowerBook, platform, Mac OS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mac OS Context triple: [PowerBook, platform, Mac OS]
-
A.
macOS
macOS is Apple’s proprietary Unix-based operating system known for its graphical user interface, tight integration with Apple hardware and services, and strong emphasis on usability and security.
-
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.
iPadOS
iPadOS is Apple’s tablet-focused operating system that builds on iOS with features and interfaces optimized for the iPad’s larger display and multitasking capabilities.
-
D.
Classic Mac OS
chosen
Classic Mac OS is the original graphical operating system for Apple’s Macintosh computers, known for its intuitive interface, single-tasking roots, and evolution from System 1 through Mac OS 9 before being replaced by macOS.
-
E.
iOS
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ee8d835881908403ea23901e52b3 |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a457fba1d08190a8eb41271b59a693 |
completed | March 1, 2026, 3:15 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.