Triple

T15341247
Position Surface form Disambiguated ID Type / Status
Subject Oliver North E366798 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: [Oliver North, residence, Virginia, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia, United States
Context triple: [Oliver North, residence, Virginia, United States]
  • A. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • B. Virginia
    Virginia is a semi-rural suburb in the northern Adelaide region of South Australia, known for its market gardens and greenhouse horticulture.
  • C. 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.
  • D. Virginia
    Virginia is a gold mining town in South Africa’s Free State province, known for its role in the region’s mining industry and its location near the Sand River.
  • E. 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.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a67adf88190bbe15040761d235e completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:17 a.m.