Triple
T6047124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affirm |
E134694
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Affirm app |
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 app | Statement: [Affirm, hasProduct, Affirm app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affirm app Context triple: [Affirm, hasProduct, Affirm app]
-
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.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
-
C.
GrabPay
GrabPay is Grab’s digital wallet and mobile payment service used for cashless transactions across transport, food delivery, and everyday purchases in Southeast Asia.
-
D.
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.
-
E.
Creditex
Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
- 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_69c11d01aa208190a9c630780f5b9851 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:09 p.m.