Triple
T8413404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp X1 |
E198675
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Sharp Corporation |
E79661
|
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: Sharp Corporation | Statement: [Sharp X1, manufacturer, Sharp Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharp Corporation Context triple: [Sharp X1, manufacturer, Sharp Corporation]
-
A.
Sharp Corporation
chosen
Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
-
B.
Tokyo Tsushin Kogyo
Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
-
C.
Matsushita Electric Industrial Co.
Matsushita Electric Industrial Co., better known globally by its brand name Panasonic, is a major Japanese multinational electronics manufacturer and technology company.
-
D.
NEC Corporation
NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
-
E.
Fujitsu Limited
Fujitsu Limited is a major Japanese multinational information and communications technology company known for its computing products, IT services, and solutions.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3988932c8190969c4c0295348636 |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:06 p.m.