Triple

T7614165
Position Surface form Disambiguated ID Type / Status
Subject Mount Brewer E172318 entity
Predicate namedAfter P63 FINISHED
Object William Henry Brewer E577948 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: William Henry Brewer | Statement: [Mount Brewer, namedAfter, William Henry Brewer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Henry Brewer
Context triple: [Mount Brewer, namedAfter, William Henry Brewer]
  • A. William Henry Brewer chosen
    William Henry Brewer was a 19th-century American botanist and explorer best known for his pioneering scientific work and field leadership during early surveys of California’s geography and natural history.
  • B. Thomas Farriner
    Thomas Farriner was a 17th-century London baker historically associated with the origin of the Great Fire of London in 1666.
  • C. George F. Baker
    George F. Baker was a prominent American financier and philanthropist whose wealth and influence supported major institutions in education, health, and public welfare.
  • D. George Brewer Jr.
    George Brewer Jr. was a writer whose work served as the literary basis for the film "Dark Victory."
  • E. Henry F. Potter
    Henry F. Potter is the ruthless, wealthy antagonist in the classic film "It's a Wonderful Life," known for trying to control and exploit the town of Bedford Falls.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa418ef081908fd17ff367520995 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86868dce08190b31229ff2e06fe0c completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.