Triple
T5322137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | loanDepot |
E121697
|
entity |
| Predicate | hasEmployee |
P2308
|
FINISHED |
| Object | Anthony Hsieh |
E512242
|
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: Anthony Hsieh | Statement: [loanDepot, hasEmployee, Anthony Hsieh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Hsieh Context triple: [loanDepot, hasEmployee, Anthony Hsieh]
-
A.
Anthony Hsieh
chosen
Anthony Hsieh is an American entrepreneur best known as the founder and former CEO of loanDepot, one of the largest nonbank mortgage lenders in the United States.
-
B.
Tony Hsieh
Tony Hsieh was an American entrepreneur and venture capitalist best known for transforming Zappos into a pioneering online retailer celebrated for its customer service–driven culture.
-
C.
Reid Hoffman
Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
-
D.
John Donahoe
John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
-
E.
Alex Karp
Alex Karp is an American billionaire entrepreneur and co-founder CEO of Palantir Technologies, known for its data analytics software used by governments and large 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8577ba3881909a28cbf744648256 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf290bb4148190b6f98fcd36d03c02 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:59 p.m.