Triple
T8943101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chromebase |
E212950
|
entity |
| Predicate | hardwarePartner |
P12755
|
FINISHED |
| Object | Acer |
E170419
|
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: Acer | Statement: [Chromebase, hardwarePartner, Acer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acer Context triple: [Chromebase, hardwarePartner, Acer]
-
A.
Acer
chosen
Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
-
B.
Acer
Acer is a genus of deciduous trees and shrubs best known for its maples, many of which are valued for their distinctive leaves, vibrant autumn colors, and sap used to produce maple syrup.
-
C.
Lenovo
Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics worldwide.
-
D.
ASUS
ASUS is a Taiwanese multinational technology company best known for producing computers, laptops, motherboards, and other consumer electronics and hardware devices.
-
E.
Dell
Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66d93978819084b1a5c7c5dd2372 |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1f418708190b1272209f61e3a51 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.