Triple
T9317893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerPC G3 |
E224168
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Apple iBook (Dual USB) |
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: Apple iBook (Dual USB) | Statement: [PowerPC G3, usedIn, Apple iBook (Dual USB)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple iBook (Dual USB) Context triple: [PowerPC G3, usedIn, Apple iBook (Dual USB)]
-
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.
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.
-
C.
Apple eMac
The Apple eMac is an all-in-one desktop computer introduced by Apple in the early 2000s, originally aimed at the education market and known for its CRT display and compact, translucent design.
-
D.
PowerBook
PowerBook is a line of Apple Macintosh laptop computers introduced in the early 1990s that helped define modern notebook design.
-
E.
MacBook
MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358b66148190a918c107490c8406 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3aa178881909e773e11c3892381 |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:38 p.m.