Triple

T12118200
Position Surface form Disambiguated ID Type / Status
Subject Šaawanwa E288620 entity
Predicate hasNotableLeader P981 FINISHED
Object Blue Jacket E54227 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: Blue Jacket | Statement: [Šaawanwa, hasNotableLeader, Blue Jacket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Jacket
Context triple: [Šaawanwa, hasNotableLeader, Blue Jacket]
  • A. Blue Jacket chosen
    Blue Jacket was a prominent Shawnee war chief who led Native American resistance against United States expansion in the late 18th century.
  • B. Contee
    Contee is a surname of English origin borne by various individuals, including members of early American colonial families.
  • C. John H. Morgan
    John H. Morgan was a Confederate cavalry general during the American Civil War, best known for his daring raids behind Union lines.
  • D. Henry Wise
    Henry Wise was a prominent late 17th- and early 18th-century English gardener and landscape designer known for shaping formal royal gardens, including those at Hampton Court Palace.
  • E. Daniel Morgan
    Daniel Morgan was a famed American Revolutionary War general and frontiersman best known for his leadership of riflemen and decisive victory at the Battle of Cowpens.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f682397c819085a86a98e079660b completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.