Triple

T19316536
Position Surface form Disambiguated ID Type / Status
Subject TIAA Bank E483112 entity
Predicate formerName P65 FINISHED
Object EverBank NE NERFINISHED

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: EverBank | Statement: [TIAA Bank, formerName, EverBank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EverBank
Context triple: [TIAA Bank, formerName, EverBank]
  • A. EverBank chosen
    EverBank is a U.S.-based financial institution best known for its banking and lending services and for holding naming rights to major sports venues.
  • B. FirstBank
    FirstBank is a financial institution whose naming rights sponsorship extends to major venues such as FirstBank Stadium.
  • C. Orange Bank
    Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
  • D. Ameris Bank
    Ameris Bank is a regional financial institution based in the southeastern United States, offering a range of banking and financial services to individuals and businesses.
  • E. Cornèr Bank
    Cornèr Bank is a Swiss private bank based in Lugano, known for its banking, wealth management, and payment card services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.