Triple
T22944596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Collison |
E569829
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Stripe, Inc. |
—
|
NE NERFINISHED |
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, Inc. | Statement: [John Collison, founded, Stripe, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stripe, Inc. Context triple: [John Collison, founded, Stripe, Inc.]
-
A.
Chase Paymentech
Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
-
B.
Integrated Payment Systems Inc.
Integrated Payment Systems Inc. was a financial services company that operated money transfer and payment processing businesses later consolidated into what became MoneyGram.
-
C.
Mastercard
Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
-
D.
Stripe
Stripe is the vicious, white-mohawked leader of the evil gremlins in the 1984 horror-comedy film "Gremlins."
-
E.
Stripe
chosen
Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819c696c8190977bd2bca01509bc |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:45 p.m.