Triple
T299821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classic Mac OS |
E6173
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Mac OS X |
E6427
|
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 X | Statement: [Classic Mac OS, successor, Mac OS X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mac OS X Context triple: [Classic Mac OS, successor, Mac OS X]
-
A.
macOS
chosen
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.
Classic Mac OS
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.
-
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.
iOS
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
-
E.
USBOS
USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e53b2c81909c4a15b366d94cd6 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c4141d288190a6873cf20e360fe1 |
completed | March 1, 2026, 4:44 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.