Triple

T2235521
Position Surface form Disambiguated ID Type / Status
Subject Lucy Flucker Knox E49270 entity
Predicate spouse P13 FINISHED
Object Henry Knox E7772 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: Henry Knox | Statement: [Lucy Flucker Knox, spouse, Henry Knox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Knox
Context triple: [Lucy Flucker Knox, spouse, Henry Knox]
  • A. Henry Knox chosen
    Henry Knox was an American Revolutionary War general who served as George Washington’s chief artillery officer and later became the first U.S. Secretary of War.
  • B. Horatio Gates
    Horatio Gates was a British-born American general who played a prominent and controversial leadership role for the Continental Army during the American Revolutionary War, particularly at the Battle of Saratoga.
  • C. William Howe
    William Howe was a British Army general who served as commander-in-chief of British forces during the early years of the American Revolutionary War.
  • D. Benjamin Lincoln
    Benjamin Lincoln was an American Revolutionary War general who served in the Continental Army and later as the first United States Secretary at War.
  • E. Johann de Kalb
    Johann de Kalb was a German-born French military officer who served as a major general in the Continental Army during the American Revolutionary War and became a patriot hero after dying from wounds sustained at the Battle of Camden.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71bd294c8190b46fc4ad69cb7c37 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.