Triple
T1934539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Financial Group |
E41414
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Sony Financial Group |
E41414
|
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: Sony Financial Group | Statement: [Sony Financial Group, brand, Sony Financial Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sony Financial Group Context triple: [Sony Financial Group, brand, Sony Financial Group]
-
A.
Sony Financial Group
chosen
Sony Financial Group is a Japan-based financial services holding company within the Sony corporate family, offering banking, insurance, and related financial products.
-
B.
Nomura
Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
-
C.
SoftBank Group
SoftBank Group is a Japanese multinational conglomerate holding company best known for its large-scale technology investments and telecommunications businesses.
-
D.
Mizuho
Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
-
E.
Dai-ichi Life Insurance Company
Dai-ichi Life Insurance Company is a major Japanese life insurance provider and one of the country’s largest and oldest financial institutions.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29b51408190afb2f918814e68c7 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f3932081909a72d1022259359e |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.