Triple

T1676651
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Garner E36244 entity
Predicate brandAmbassadorFor P13067 FINISHED
Object Capital One E58046 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: Capital One | Statement: [Jennifer Garner, brandAmbassadorFor, Capital One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capital One
Context triple: [Jennifer Garner, brandAmbassadorFor, Capital One]
  • A. Capital One chosen
    Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
  • B. Bank of America
    Bank of America is one of the largest multinational banking and financial services corporations in the United States, offering a wide range of consumer, corporate, and investment banking products globally.
  • C. Wells Fargo
    Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
  • D. CIT Group
    CIT Group is a U.S.-based financial services company specializing in commercial lending, leasing, and banking solutions for businesses and institutions.
  • E. Comerica Bank
    Comerica Bank is a large U.S. financial services company headquartered in Dallas, Texas, known for its commercial banking, wealth management, and retail banking operations.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abaffad4748190995fec39bc8d7a1f completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b7c2608190bce1dc7469da4c45 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.