Triple

T15487776
Position Surface form Disambiguated ID Type / Status
Subject Henry Oscar Houghton E377094 entity
Predicate hasEmployer P7 FINISHED
Object Riverside Press E124158 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: Riverside Press | Statement: [Henry Oscar Houghton, hasEmployer, Riverside Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riverside Press
Context triple: [Henry Oscar Houghton, hasEmployer, Riverside Press]
  • A. Riverside Press chosen
    Riverside Press was a prominent 19th- and early 20th-century American printing and publishing house based in Cambridge, Massachusetts, known for its high-quality book production.
  • B. North Point Press
    North Point Press is an American literary publishing imprint known for its high-quality editions of fiction, poetry, and nonfiction.
  • C. Greenway Press
    Greenway Press is a publishing company known as the workplace of children’s book editor Walter Hobbs in the film "Elf."
  • D. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • E. University Press of America
    University Press of America is an academic publishing imprint known for producing scholarly and educational books across a wide range of disciplines.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4661088190bb53161247effcc4 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:48 a.m.