Triple
T11657489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp |
E277046
|
entity |
| Predicate | brand |
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, brand, AQUOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AQUOS Context triple: [Sharp, brand, 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.
Toshiba REGZA
Toshiba REGZA is a line of high-definition televisions and display devices produced by Toshiba, known for their advanced picture processing and multimedia features.
-
D.
Xperia
Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
-
E.
Sanyo
Sanyo is a Japanese electronics brand known for producing a wide range of consumer and industrial electronic products, including televisions, batteries, 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef138faf4c81908043c71550048d75 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.