Triple

T7659788
Position Surface form Disambiguated ID Type / Status
Subject Don Bexley E173474 entity
Predicate residence P75 FINISHED
Object Virginia, United States E5410 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: Virginia, United States | Statement: [Don Bexley, residence, Virginia, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia, United States
Context triple: [Don Bexley, residence, Virginia, United States]
  • A. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • B. Virginia chosen
    Virginia is a U.S. state in the Mid-Atlantic and Southeastern regions, known for its pivotal role in American history, including being home to several early presidents and key Revolutionary and Civil War sites.
  • C. Gore, Virginia
    Gore, Virginia is a small unincorporated community in Frederick County best known as the birthplace of American novelist Willa Cather.
  • D. Virginia Venit
    Virginia Venit is a key supporting character in the comedy film "Happy Gilmore," serving as the PGA Tour public relations director and the protagonist’s love interest.
  • E. Virginie
    Virginie is the given name of Virginie Amélie Avegno Gautreau, the American-born Parisian socialite famously depicted in John Singer Sargent’s painting "Portrait of Madame X."
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f716a48190a0ca52caffc2c1c1 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:59 p.m.