Triple

T4223509
Position Surface form Disambiguated ID Type / Status
Subject Sever Hall, Harvard University E94397 entity
Predicate namedAfter P63 FINISHED
Object James Warren Sever E85790 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: James Warren Sever | Statement: [Sever Hall, Harvard University, namedAfter, James Warren Sever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Warren Sever
Context triple: [Sever Hall, Harvard University, namedAfter, James Warren Sever]
  • A. James Warren Sever chosen
    James Warren Sever was a Harvard University alumnus and benefactor after whom the historic Sever Hall in Harvard Yard is named.
  • B. James Warren
    James Warren was an American patriot leader and politician from Massachusetts who played a significant role in the early stages of the American Revolution.
  • C. Charles Heath
    Charles Heath was a prominent 19th-century English engraver known for his book illustrations and contributions to the popularization of steel engraving.
  • D. Warren Wells
    Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
  • E. Augustus Trowbridge
    Augustus Trowbridge was an American physicist and academic known for his work in optics and for mentoring influential engineers and scientists in the early 20th century.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e0f4f18819089779c37c626762e completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f60b49481908b2199544868769c completed March 20, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.