Triple

T9800613
Position Surface form Disambiguated ID Type / Status
Subject Discover Global Network E237826 entity
Predicate competesWith P1375 FINISHED
Object American Express E47812 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: American Express | Statement: [Discover Global Network, competesWith, American Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Express
Context triple: [Discover Global Network, competesWith, American Express]
  • A. American Express chosen
    American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
  • B. 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.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • D. 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.
  • E. American Express Green Card
    The American Express Green Card is a travel-focused charge card that earns Membership Rewards points and offers benefits like travel protections and statement credits for frequent travelers.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc53c3dc819084a4d8b72164a172 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.