Triple

T20181734
Position Surface form Disambiguated ID Type / Status
Subject Timothy Dwight V E492743 entity
Predicate name P16 FINISHED
Object Timothy Dwight V 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: Timothy Dwight V | Statement: [Timothy Dwight V, name, Timothy Dwight V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Dwight V
Context triple: [Timothy Dwight V, name, Timothy Dwight V]
  • A. Timothy Dwight V chosen
    Timothy Dwight V was an American academic and Congregational minister who served as president of Yale University from 1886 to 1899.
  • B. Timothy Dwight IV
    Timothy Dwight IV was an influential American theologian, educator, and author who served as the eighth president of Yale College in the late 18th and early 19th centuries.
  • C. Timothy Dwight III
    Timothy Dwight III was an American Congregational clergyman and educator who served as president of Yale College in the late 18th and early 19th centuries.
  • D. Gardiner Colby
    Gardiner Colby was a 19th-century American businessman and philanthropist whose support and influence led to Colby College bearing his name.
  • E. Isaac Toucey
    Isaac Toucey was a 19th-century American Democratic politician who served as U.S. Secretary of the Navy, Attorney General, and governor of Connecticut.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ef9370819091a8479f811002a9 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.