Triple

T10140542
Position Surface form Disambiguated ID Type / Status
Subject Earl of Leven E226970 entity
Predicate nobleFamily P914 FINISHED
Object Leslie family E139150 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: Leslie family | Statement: [Earl of Leven, nobleFamily, Leslie family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie family
Context triple: [Earl of Leven, nobleFamily, Leslie family]
  • A. Leslie family chosen
    The Leslie family is a historic Scottish noble lineage that has produced various notable figures in British and European history.
  • B. Stephen family
    The Stephen family was a prominent British intellectual and literary family of the late 19th and early 20th centuries, closely associated with the Bloomsbury Group and including figures such as Virginia Woolf and Vanessa Bell.
  • C. Lindsay family
    The Lindsay family is a prominent Scottish noble lineage historically associated with the Earls of Crawford and Glenesk.
  • D. Greg family
    The Greg family was a prominent British industrialist and merchant dynasty influential in the development of the textile industry during the Industrial Revolution.
  • E. Ledlie family
    The Ledlie family is a namesake family recognized through the Harvard Ledlie Prize, reflecting their notable association with Harvard University and contributions to its academic legacy.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.