Triple

T7379085
Position Surface form Disambiguated ID Type / Status
Subject Jesse H. Jones School of Business E170200 entity
Predicate namedAfter P63 FINISHED
Object Jesse H. Jones E99870 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: Jesse H. Jones | Statement: [Jesse H. Jones School of Business, namedAfter, Jesse H. Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesse H. Jones
Context triple: [Jesse H. Jones School of Business, namedAfter, Jesse H. Jones]
  • A. Jesse H. Jones chosen
    Jesse H. Jones was an influential American businessman, politician, and philanthropist who played a major role in U.S. economic policy during the New Deal era.
  • B. William P. Hobby
    William P. Hobby was a prominent Texas politician and newspaper publisher who served as the 27th governor of Texas in the early 20th century.
  • C. Edgar H. Brown Jr.
    Edgar H. Brown Jr. was an American mathematician best known for his contributions to algebraic topology, particularly in homotopy theory and cohomology operations.
  • D. James Lick Robnett
    James Lick Robnett is an individual whose personal name is associated with the surname Robnett.
  • E. Morton H. Meyerson
    Morton H. Meyerson is an American businessman and philanthropist best known for his leadership roles in the technology industry and his major contributions to the arts in Dallas, Texas.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c4ad0081909386fbef9f61ae4c completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d86da48190a1311c5c52a5f296 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.