Triple

T20333676
Position Surface form Disambiguated ID Type / Status
Subject Richard Lee I E492547 entity
Predicate child P120 FINISHED
Object Hannah Lee NE NERFINISHED

How this triple was built (3 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: Hannah Lee | Statement: [Richard Lee I, child, Hannah Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah Lee
Context triple: [Richard Lee I, child, Hannah Lee]
  • A. Hanna Young
    Hanna Young is a central character in the television drama "The Haves and the Have Nots," known for her role as a hardworking, morally grounded single mother navigating the stark divides of wealth and power.
  • B. Hannah Hudson
    Hannah Hudson was the wife of colonial Massachusetts governor and Harvard College president John Leverett, known primarily through her association with his prominent political and academic career in early 18th-century New England.
  • C. Hannah Johnston
    Hannah Johnston is the birth name of Hannah Johnston Iredell, a historical figure known primarily in connection with the Iredell family.
  • D. Hannah Bryan
    Hannah Bryan was the wife of American lawyer and politician John Houstoun, who served as a governor of Georgia during the late 18th century.
  • E. Hannah Walters
    Hannah Walters is a British actress and producer known for her work in film and television and for being married to actor Stephen Graham.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hannah Lee
Target entity description: Hannah Lee is a historical member of the Lee family, known primarily as the daughter of Richard Lee I, the influential 17th-century Virginia colonist and patriarch of the prominent Lee lineage.
  • A. Hanna Young
    Hanna Young is a central character in the television drama "The Haves and the Have Nots," known for her role as a hardworking, morally grounded single mother navigating the stark divides of wealth and power.
  • B. Hannah Hudson
    Hannah Hudson was the wife of colonial Massachusetts governor and Harvard College president John Leverett, known primarily through her association with his prominent political and academic career in early 18th-century New England.
  • C. Hannah Johnston
    Hannah Johnston is the birth name of Hannah Johnston Iredell, a historical figure known primarily in connection with the Iredell family.
  • D. Hannah Bryan
    Hannah Bryan was the wife of American lawyer and politician John Houstoun, who served as a governor of Georgia during the late 18th century.
  • E. Hannah Walters
    Hannah Walters is a British actress and producer known for her work in film and television and for being married to actor Stephen Graham.
  • F. None of above. chosen

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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e94e2481908898e0a3513e1209 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.