Triple

T13601734
Position Surface form Disambiguated ID Type / Status
Subject Kerry Killinger E324958 entity
Predicate employer P7 FINISHED
Object Washington Mutual E64195 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: Washington Mutual | Statement: [Kerry Killinger, employer, Washington Mutual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington Mutual
Context triple: [Kerry Killinger, employer, Washington Mutual]
  • A. Washington Mutual chosen
    Washington Mutual was a former major U.S. savings and loan association that became the largest bank failure in American history during the 2008 financial crisis.
  • B. Bank One Corporation
    Bank One Corporation was a major U.S. bank holding company that became one of the nation’s largest banks before its 2004 acquisition by JPMorgan Chase.
  • C. U.S. Bank
    U.S. Bank is a major American financial services company and one of the largest commercial banks in the United States.
  • D. Wells Fargo
    Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
  • E. Wachovia
    Wachovia was a major American diversified financial services company and bank holding company that was acquired by Wells Fargo during the late-2000s financial crisis.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b4ae588190b293c71312ee4037 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:49 p.m.