Triple
T804849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venmo |
E17407
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | PayPal |
E3336
|
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: PayPal | Statement: [Venmo, parentCompany, PayPal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PayPal Context triple: [Venmo, parentCompany, PayPal]
-
A.
PayPal
chosen
PayPal is a leading global online payment platform that enables individuals and businesses to send, receive, and manage digital payments securely over the internet.
-
B.
Amazon Pay
Amazon Pay is a digital payment service that lets customers use their Amazon accounts to make secure purchases and payments on third-party websites and apps.
-
C.
PayPal Working Capital
PayPal Working Capital is a business financing service that provides merchants with quick, fixed-fee loans repaid automatically as a percentage of their PayPal sales.
-
D.
Pay.gov
Pay.gov is a U.S. government online payment portal that allows individuals and businesses to securely make electronic payments to federal agencies.
-
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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c7103a00819087ad711a2ab99770 |
completed | March 4, 2026, 5:45 a.m. |
Created at: March 1, 2026, 7:38 p.m.