Triple

T2866307
Position Surface form Disambiguated ID Type / Status
Subject Ajaypal Singh Banga E63445 entity
Predicate employer P7 FINISHED
Object Mastercard E47018 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: Mastercard | Statement: [Ajaypal Singh Banga, employer, Mastercard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mastercard
Context triple: [Ajaypal Singh Banga, employer, Mastercard]
  • A. Mastercard chosen
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • B. Visa
    Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
  • C. Discover Card
    Discover Card is a major U.S. credit card brand known for its cash-back rewards, no annual fees on many cards, and widespread acceptance.
  • D. American Express
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • E. Diners Club International
    Diners Club International is a global charge card and payment network brand known as one of the world’s first multipurpose payment cards, now owned and operated by Discover Financial Services.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbb7ed4819096ca65391077e2af completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da85930819092d19a5e712cfa18 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.