Triple
T6047073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HVF |
E134693
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Affirm |
E134694
|
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: Affirm | Statement: [HVF, associatedWith, Affirm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affirm Context triple: [HVF, associatedWith, Affirm]
-
A.
Affirm
chosen
Affirm is a U.S.-based financial technology company that provides buy now, pay later and installment loan services for consumers at the point of sale.
-
B.
Creditex
Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
-
C.
LendingClub
LendingClub is a U.S.-based financial services company best known for pioneering online peer-to-peer lending and later evolving into a digital bank offering personal loans and related financial products.
-
D.
Posbank
Posbank is a well-known hilly heathland area in the eastern Netherlands, popular for its scenic viewpoints, cycling routes, and purple heather landscapes.
-
E.
Chase Paymentech
Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.