Triple

T10961769
Position Surface form Disambiguated ID Type / Status
Subject Burwell family of Virginia E258991 entity
Predicate hasNotableMember P304 FINISHED
Object Lewis Burwell IV E272443 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: Lewis Burwell IV | Statement: [Burwell family of Virginia, hasNotableMember, Lewis Burwell IV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis Burwell IV
Context triple: [Burwell family of Virginia, hasNotableMember, Lewis Burwell IV]
  • A. Lewis Burwell chosen
    Lewis Burwell is a name shared by several prominent figures in colonial Virginia history, including influential planters and politicians.
  • B. Isham Randolph
    Isham Randolph was an 18th-century Virginia planter and sea captain, best known as the grandfather of U.S. President Thomas Jefferson.
  • C. John Brasfield
    John Brasfield is the stepchild of American comedian and actor Jack Carter.
  • D. George Washington Buckner
    George Washington Buckner was an African American physician, educator, and diplomat who served as U.S. Minister to Liberia in the early 20th century.
  • E. Will Dabney
    Will Dabney is a machine learning researcher known for his influential work in deep reinforcement learning, including co-developing the Rainbow DQN algorithm.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7712bf65c8190b847784d885876fd completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6fd11b08190b587bebf9586f754 completed April 18, 2026, 8:18 p.m.
Created at: April 8, 2026, 9:23 p.m.