Triple

T1203256
Position Surface form Disambiguated ID Type / Status
Subject Sam Altman E25829 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: [Sam Altman, investedIn, Stripe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stripe
Context triple: [Sam Altman, 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. Chase Paymentech
    Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
  • C. PayPal
    PayPal is a leading global online payment platform that enables individuals and businesses to send, receive, and manage digital payments securely over the internet.
  • 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. Creditex
    Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbda0b081909c0147121a945e27 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3a48d48190ae5179312b52b3ee completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.