Triple
T16311578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OfficeMax |
E396068
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | OfficeMax ImPress |
E396068
|
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: OfficeMax ImPress | Statement: [OfficeMax, hasBrand, OfficeMax ImPress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OfficeMax ImPress Context triple: [OfficeMax, hasBrand, OfficeMax ImPress]
-
A.
OfficeMax
chosen
OfficeMax is a major American office supplies retail chain offering products such as stationery, furniture, and technology for businesses and consumers.
-
B.
Dymo
Dymo is a brand best known for its label makers and labeling solutions used in offices, homes, and industrial settings.
-
C.
Epson
Epson is a Japanese electronics company best known for manufacturing printers, imaging equipment, and related information technology devices.
-
D.
HP OfficeJet printers
HP OfficeJet printers are a popular line of Hewlett-Packard all-in-one inkjet devices designed for home and small office use, offering printing, scanning, copying, and often fax capabilities.
-
E.
Printworks
Printworks is a large entertainment and leisure complex in Manchester, England, housing cinemas, bars, restaurants, and nightclubs in a former newspaper printing building.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dafb608190be35bd60342bb44e |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa6ceb48190b937a15b94fd3cfa |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.