Triple
T9472007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epson WorkForce |
E228414
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Epson |
E745342
|
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: Epson | Statement: [Epson WorkForce, manufacturer, Epson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epson Context triple: [Epson WorkForce, manufacturer, Epson]
-
A.
Epson
chosen
Epson is a Japanese electronics company best known for manufacturing printers, imaging equipment, and related information technology devices.
-
B.
Ricoh
Ricoh is a Japanese multinational imaging and electronics company best known for its cameras, printers, copiers, and office equipment solutions.
-
C.
Canon Inc.
Canon Inc. is a Japanese multinational corporation renowned for its imaging and optical products, including cameras, camcorders, printers, and related equipment.
-
D.
Epson WorkForce
Epson WorkForce is a line of business-oriented inkjet printers and all-in-one devices by Epson, designed for high-volume, cost-efficient office printing.
-
E.
Epson Expression printers
Epson Expression printers are a line of consumer inkjet printers from Epson known for high-quality photo printing and home/office multifunction capabilities.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fef6f288190b2d158c829b31de9 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:54 p.m.