Triple

T20209596
Position Surface form Disambiguated ID Type / Status
Subject Virginia Heinlein E493453 entity
Predicate givenName P17 FINISHED
Object Virginia 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: Virginia | Statement: [Virginia Heinlein, givenName, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia
Context triple: [Virginia Heinlein, givenName, Virginia]
  • A. Virginia
    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.
  • B. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • C. Virginia
    Virginia is a character in the classic French farce "Il cappello di paglia di Firenze" ("The Florentine Straw Hat"), around whom part of the play’s romantic and comedic misunderstandings revolve.
  • D. Virginia
    Virginia is the birth name of legendary American country music singer Patsy Cline, renowned for her rich contralto voice and crossover hits in the late 1950s and early 1960s.
  • E. Virginia chosen
    Virginia is a feminine given name of Latin origin, historically associated with notions of virtue and widely used in English-speaking countries.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed4706c81908a5e4a3023a9c22f completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.