Triple

T21891710
Position Surface form Disambiguated ID Type / Status
Subject Kevin Zegers E540565 entity
Predicate notableWork P4 FINISHED
Object Transamerica 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: Transamerica | Statement: [Kevin Zegers, notableWork, Transamerica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transamerica
Context triple: [Kevin Zegers, notableWork, Transamerica]
  • A. Transamerica chosen
    Transamerica is a 2005 independent drama film about a transgender woman’s cross-country journey with her estranged son, noted for Felicity Huffman’s acclaimed lead performance.
  • B. Transamerica Corporation
    Transamerica Corporation is a major American financial services company best known for its life insurance, investment, and retirement products and its iconic association with the Transamerica Pyramid in San Francisco.
  • C. 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.
  • D. U.S. Bank
    U.S. Bank is a major American financial services company and one of the largest commercial banks in the United States.
  • E. Wells Fargo
    Wells Fargo is a large American multinational financial services company and one of the biggest banks in the United States.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc3727c8190b4d5d5a44aa2e55e completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.