Triple
T300107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua |
E6178
|
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: [Aqua, platform, Macintosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macintosh Context triple: [Aqua, 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.
iMac
The iMac is Apple’s all-in-one desktop computer line known for integrating powerful hardware with a slim, minimalist display-focused design.
-
C.
Apple Lisa
Apple Lisa was an early 1980s Apple personal computer notable for pioneering a graphical user interface and mouse-driven desktop environment.
-
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_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_69a3e5715a0c8190ad1333d8aaaecc1b |
completed | March 1, 2026, 7:06 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.