Triple
T6091597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stripe |
E135777
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Stripe Radar |
E135777
|
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: Stripe Radar | Statement: [Stripe, product, Stripe Radar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stripe Radar Context triple: [Stripe, product, Stripe Radar]
-
A.
RSA Fraud and Risk Intelligence
RSA Fraud and Risk Intelligence is a cybersecurity solution focused on detecting, preventing, and managing online fraud and digital risks for organizations.
-
B.
Stripe
chosen
Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
-
C.
Braintree Direct
Braintree Direct is an online payment processing solution that enables businesses to securely accept and manage credit cards, digital wallets, and other payment methods through web and mobile applications.
-
D.
Commercial Risk Solutions
Commercial Risk Solutions is a business segment of Aon Corporation that provides risk management, insurance brokerage, and related advisory services to commercial clients.
-
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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12531d764819083e1bb37d8c81a6c |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.