Triple
T9002332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EP&S |
E215065
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | BRAVIA |
E41407
|
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: BRAVIA | Statement: [EP&S, ownsBrand, BRAVIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRAVIA Context triple: [EP&S, ownsBrand, BRAVIA]
-
A.
Bravia
chosen
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
B.
AQUOS brand televisions
AQUOS brand televisions are Sharp Corporation’s line of high-definition and smart TVs known for their advanced display technology and sleek designs.
-
C.
Vizio
Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
-
D.
QLED televisions
QLED televisions are advanced flat-panel displays that use quantum dot technology to deliver brighter images, richer colors, and improved contrast compared to conventional LED TVs.
-
E.
Roku
Roku is a popular digital media player platform that streams internet-based television, movies, and other content through apps and channels on connected TVs.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ddb1648190a50f8877218d9883 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.