Triple
T16853566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National |
E409731
|
entity |
| Predicate | rebrandedTo |
P6643
|
FINISHED |
| Object | Panasonic |
—
|
NE NERFINISHED |
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: Panasonic | Statement: [National, rebrandedTo, Panasonic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panasonic Context triple: [National, rebrandedTo, Panasonic]
-
A.
Panasonic
chosen
Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
-
B.
Panasonic Electric Works
Panasonic Electric Works is a Japanese company specializing in electrical and electronic equipment, particularly components and building-related systems, and operates as part of the broader Panasonic corporate group.
-
C.
Panasonic Homes
Panasonic Homes is a Japanese homebuilding and real estate development company known for its prefabricated housing and smart, energy-efficient residential solutions.
-
D.
Matsushita
Matsushita is a Japanese surname most prominently associated with Konosuke Matsushita, the industrialist who founded the electronics giant Panasonic.
-
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 (2 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37bbb80819086d844a313625cad |
completed | April 18, 2026, 4:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.