Triple

T16897824
Position Surface form Disambiguated ID Type / Status
Subject Sequoia Capital E424354 entity
Predicate investedIn P17330 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: [Sequoia Capital, investedIn, Stripe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stripe
Context triple: [Sequoia Capital, investedIn, 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d98c308190bcc0adc7797d1f40 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.