Triple
T7931013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LendingClub |
E184187
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object |
Radius Bank
Radius Bank was a U.S.-based online-focused community bank known for its digital banking services before being acquired by LendingClub.
|
E697113
|
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: Radius Bank | Statement: [LendingClub, acquired, Radius Bank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radius Bank Context triple: [LendingClub, acquired, Radius Bank]
-
A.
Equator Bank
Equator Bank was a financial institution where future Liberian president and economist Ellen Johnson Sirleaf held a professional position during her banking career.
-
B.
Aurora Bank
Aurora Bank is a notable geological feature within the Scotia Arc, forming part of the submarine topography in the South Atlantic region.
-
C.
Tangerine Bank
Tangerine Bank is a Canadian direct bank known for its no-fee online banking services and savings products.
-
D.
ING Bank
ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
-
E.
Orange Bank
Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
- 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: Radius Bank Triple: [LendingClub, acquired, Radius Bank]
Generated description
Radius Bank was a U.S.-based online-focused community bank known for its digital banking services before being acquired by LendingClub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radius Bank Target entity description: Radius Bank was a U.S.-based online-focused community bank known for its digital banking services before being acquired by LendingClub.
-
A.
Equator Bank
Equator Bank was a financial institution where future Liberian president and economist Ellen Johnson Sirleaf held a professional position during her banking career.
-
B.
Aurora Bank
Aurora Bank is a notable geological feature within the Scotia Arc, forming part of the submarine topography in the South Atlantic region.
-
C.
Tangerine Bank
Tangerine Bank is a Canadian direct bank known for its no-fee online banking services and savings products.
-
D.
ING Bank
ING Bank is a global Dutch financial institution offering banking, investment, and insurance services to retail and corporate clients.
-
E.
Orange Bank
Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c01602081908ea1af24785260ff |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f22f89c8190a98208bf096a2427 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:07 p.m.