Triple

T17567874
Position Surface form Disambiguated ID Type / Status
Subject George W. Brackenridge E427862 entity
Predicate educatedAt P5 FINISHED
Object Hanover College 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: Hanover College | Statement: [George W. Brackenridge, educatedAt, Hanover College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanover College
Context triple: [George W. Brackenridge, educatedAt, Hanover College]
  • A. Hanover College chosen
    Hanover College is a private liberal arts college in Hanover, Indiana, known for its historic campus and undergraduate-focused education.
  • B. Earlham College
    Earlham College is a small private liberal arts college in Richmond, Indiana, known for its Quaker heritage and strong emphasis on social justice and global education.
  • C. Earlham
    Earlham is a small city located in central Iowa, United States.
  • D. Franklin College
    Franklin College is a historic American institution of higher education that educated notable 19th-century figures, including future Confederate Vice President Alexander H. Stephens.
  • E. Andover College
    Andover College is a further education institution located in Andover, Hampshire, offering a range of academic and vocational courses for post-16 students.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.