Triple
T14372443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Book PCs |
E356388
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Galaxy Book |
E356388
|
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: Galaxy Book | Statement: [Samsung Galaxy Book PCs, hasModel, Galaxy Book]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galaxy Book Context triple: [Samsung Galaxy Book PCs, hasModel, Galaxy Book]
-
A.
Surface Book
Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
-
B.
Samsung Galaxy Book PCs
chosen
Samsung Galaxy Book PCs are Samsung’s line of Windows-based laptops designed to integrate closely with Galaxy smartphones and tablets while offering portable productivity and performance.
-
C.
Calibre
Calibre is a 2018 British thriller film about a hunting trip in the Scottish Highlands that goes disastrously wrong, starring Jack Lowden.
-
D.
Calibre
Calibre is an electronic design automation tool suite from Mentor Graphics widely used for physical verification and design rule checking in semiconductor chip design.
-
E.
The Tablet
The Tablet is a Catholic newspaper serving the Diocese of Brooklyn, providing news, commentary, and information for the local Catholic community.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5363a081909681b54c1d8218dc |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.