Triple

T14177366
Position Surface form Disambiguated ID Type / Status
Subject Khosla Ventures E351366 entity
Predicate portfolioCompany P43497 FINISHED
Object Affirm E134694 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: Affirm | Statement: [Khosla Ventures, portfolioCompany, Affirm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Affirm
Context triple: [Khosla Ventures, portfolioCompany, Affirm]
  • A. Affirm chosen
    Affirm is a U.S.-based financial technology company that provides buy now, pay later and installment loan services for consumers at the point of sale.
  • B. Creditex
    Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
  • C. LendingClub
    LendingClub is a U.S.-based financial services company best known for pioneering online peer-to-peer lending and later evolving into a digital bank offering personal loans and related financial products.
  • D. Afterpay Limited
    Afterpay Limited is an Australian financial technology company best known for its "buy now, pay later" installment payment services for online and in-store purchases.
  • E. Paymer
    Paymer is a surname most notably associated with American character actor David Paymer, known for his extensive work in film and television.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80f03a48190a5374fb6374255a8 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:02 a.m.