Triple

T2351204
Position Surface form Disambiguated ID Type / Status
Subject Lady Macbeth E47451 entity
Predicate character P662 FINISHED
Object Katherine Lester E163657 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: Katherine Lester | Statement: [Lady Macbeth, character, Katherine Lester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Lester
Context triple: [Lady Macbeth, character, Katherine Lester]
  • A. Katherine Lester chosen
    Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
  • B. Katherine Smith
    Katherine Smith is an individual known primarily as the daughter of Benjamin A. Smith II, a former U.S. Senator from Massachusetts.
  • C. Katherine Hudson
    Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
  • D. Katherine Hudson
    Katherine Hudson is the child of John Hudson, about whom no widely known public information is available.
  • E. Katherine Hudson
    Katherine Hudson is the mother of American actor Oliver Hudson and a member of the Hudson family connected to the entertainment industry.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af653ce900819097157ca76cb45a81 completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:54 p.m.