Triple

T10166834
Position Surface form Disambiguated ID Type / Status
Subject John Jay Hall E235224 entity
Predicate hasName P744 FINISHED
Object John Jay Hall E235224 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: John Jay Hall | Statement: [John Jay Hall, hasName, John Jay Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Jay Hall
Context triple: [John Jay Hall, hasName, John Jay Hall]
  • A. John Jay Hall chosen
    John Jay Hall is a prominent residence and dining hall building at Columbia University’s Morningside Heights campus in New York City.
  • B. John Jay Smith
    John Jay Smith was a 19th-century American librarian, editor, and civic leader best known for helping pioneer the rural cemetery movement in the United States.
  • C. James Cullen Landis
    James Cullen Landis was an American silent film actor and occasional director active in the 1910s and 1920s.
  • D. Walter Dellinger
    Walter Dellinger was a prominent American constitutional law scholar and former acting U.S. Solicitor General known for his influential work in Supreme Court advocacy and legal academia.
  • E. Kenneth N. Stevens
    Kenneth N. Stevens was a pioneering acoustician and speech scientist renowned for his foundational work on the acoustic theory of speech production and perception.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6e016c81909ded2a16b839c405 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3177ddab48190988c280faf406383 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:10 p.m.