Triple

T3108028
Position Surface form Disambiguated ID Type / Status
Subject Battle of Fallen Timbers E64880 entity
Predicate commander P1061 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: [Battle of Fallen Timbers, commander, Blue Jacket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blue Jacket
Context triple: [Battle of Fallen Timbers, commander, 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. 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.
  • C. 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.
  • D. John J. Parker
    John J. Parker was a prominent American judge who served on the U.S. Court of Appeals for the Fourth Circuit and was once a nominee to the U.S. Supreme Court.
  • E. Robert S. Garnett
    Robert S. Garnett was an American artist best known for creating the original design of the Great Seal of the State of California.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29eacc88190a19c5ca8e53e3dca completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2038c89248190b880108c82ad35b1 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.