Triple
T20808920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Hsieh |
E512242
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | loanDepot |
—
|
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: loanDepot | Statement: [Anthony Hsieh, founded, loanDepot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: loanDepot Context triple: [Anthony Hsieh, founded, loanDepot]
-
A.
loanDepot
chosen
loanDepot is a U.S.-based nonbank mortgage lender that provides home purchase and refinancing loans through both online and retail channels.
-
B.
loanDepot park
loanDepot park is a modern retractable-roof baseball stadium in Miami, Florida, known as the home venue of Major League Baseball’s Miami Marlins.
-
C.
LoanMart
LoanMart is a financial services company that specializes in providing auto title loans and related lending products to consumers.
-
D.
LendingTree
LendingTree is an online lending marketplace that connects consumers with multiple lenders for mortgages, personal loans, credit cards, and other financial products.
-
E.
Loans
Loans is a small village in South Ayrshire, Scotland, known for its rural character and proximity to the town of Troon.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d199888190b8b190c928f510b7 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.