Triple

T10498428
Position Surface form Disambiguated ID Type / Status
Subject Lucy Flucker E247603 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, spouse, Henry Knox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Knox
Context triple: [Lucy Flucker, 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098e45ec8190a02b981a06786909 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90ddbbb3c8190873e8e3c27039b16 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:25 p.m.