Triple
T3739389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp Corporation |
E79661
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | AQUOS |
E383931
|
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: AQUOS | Statement: [Sharp Corporation, hasBrand, AQUOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AQUOS Context triple: [Sharp Corporation, hasBrand, AQUOS]
-
A.
AQUOS brand televisions
chosen
AQUOS brand televisions are Sharp Corporation’s line of high-definition and smart TVs known for their advanced display technology and sleek designs.
-
B.
Bravia
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
C.
Xperia
Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
-
D.
Panasonic
Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
-
E.
Sharp Corporation
Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4fce13c8190bedd5c2afe93567c |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:34 p.m.