Triple
T9001022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Life Insurance |
E215037
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Sony Bank
Sony Bank is a Japanese online bank that offers a range of retail banking and financial services as part of the Sony financial group.
|
E771798
|
NE FINISHED |
How this triple was built (4 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 Bank | Statement: [Sony Life Insurance, associatedWith, Sony Bank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sony Bank Context triple: [Sony Life Insurance, associatedWith, Sony Bank]
-
A.
ING Bank
ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
-
B.
Nifty Bank
Nifty Bank is a benchmark stock market index in India that tracks the performance of leading banking sector companies listed on the National Stock Exchange.
-
C.
Mizuho
Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
-
D.
Mizuho
Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
-
E.
Nomura
Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sony Bank Triple: [Sony Life Insurance, associatedWith, Sony Bank]
Generated description
Sony Bank is a Japanese online bank that offers a range of retail banking and financial services as part of the Sony financial group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sony Bank Target entity description: Sony Bank is a Japanese online bank that offers a range of retail banking and financial services as part of the Sony financial group.
-
A.
ING Bank
ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
-
B.
Nifty Bank
Nifty Bank is a benchmark stock market index in India that tracks the performance of leading banking sector companies listed on the National Stock Exchange.
-
C.
Mizuho
Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
-
D.
Mizuho
Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
-
E.
Nomura
Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
- F. None of above. chosen
Provenance (5 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_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ddb1648190a50f8877218d9883 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd1b4a80c8190be50b67698f56c28 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2c99f1c8190b82fd98f5d3243d3 |
completed | April 3, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:05 p.m.