Triple

T21179872
Position Surface form Disambiguated ID Type / Status
Subject Sir Robert Montgomery E521917 entity
Predicate child P120 FINISHED
Object Hugh Montgomery NE NERFINISHED

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: Hugh Montgomery | Statement: [Sir Robert Montgomery, child, Hugh Montgomery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Montgomery
Context triple: [Sir Robert Montgomery, child, Hugh Montgomery]
  • A. Hugh Montgomery chosen
    Hugh Montgomery is a name shared by several notable historical figures, including soldiers, politicians, and nobility from the British Isles.
  • B. Edward Montgomery
    Edward Montgomery is an American economist and academic who served as a key advisor in U.S. economic and labor policy, including roles in the Clinton and Obama administrations.
  • C. Clarence Buckingham
    Clarence Buckingham was a Chicago civic leader and philanthropist whose legacy is commemorated by the iconic Buckingham Fountain in Grant Park.
  • D. Robert James
    Robert James is an American businessman best known as the founder of the financial services firm Raymond James Financial.
  • E. Henry Youngman
    Henry Youngman, better known as Henny Youngman, was a British-American comedian famed for his rapid-fire one-liners and the catchphrase "Take my wife—please."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301c842c8190b969a8b3f194003a completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.