Triple
T16231990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Rabois |
E394004
|
entity |
| Predicate | notableInvestment |
P3488
|
FINISHED |
| Object | Stripe |
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 | Statement: [Keith Rabois, notableInvestment, Stripe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stripe Context triple: [Keith Rabois, notableInvestment, Stripe]
-
A.
Stripe
chosen
Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
-
B.
Stripe
Stripe is the vicious, white-mohawked leader of the evil gremlins in the 1984 horror-comedy film "Gremlins."
-
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.
Adyen
Adyen is a global payment processing company that provides an end-to-end platform for accepting online, mobile, and in-store payments for businesses.
-
E.
Paystack
Paystack is a Nigerian financial technology company that provides online payment processing solutions for businesses across Africa.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29fa248190943f4c3f7808908b |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007a0ab08819082aea4c312c9ffc7 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:04 a.m.