Triple
T13784507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SoFi Technologies, Inc. |
E331218
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SoFi |
E331218
|
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: SoFi | Statement: [SoFi Technologies, Inc., shortName, SoFi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SoFi Context triple: [SoFi Technologies, Inc., shortName, SoFi]
-
A.
SoFi Technologies, Inc.
chosen
SoFi Technologies, Inc. is a U.S.-based online personal finance company offering services such as student loan refinancing, mortgages, investing, and banking products.
-
B.
Capital One
Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
-
C.
Orange Bank
Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
-
D.
Wells Fargo
Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
-
E.
U.S. Bank
U.S. Bank is a major American financial services company and one of the largest commercial banks in the United States.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0248db988190aa43c3723af25f90 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07b0b2881909b316e3cc67f1ec1 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.