Triple

T11283219
Position Surface form Disambiguated ID Type / Status
Subject Truman Belt E267114 entity
Predicate hasFullName P16 FINISHED
Object Truman Belt E267114 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: Truman Belt | Statement: [Truman Belt, hasFullName, Truman Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truman Belt
Context triple: [Truman Belt, hasFullName, Truman Belt]
  • A. Truman Belt chosen
    Truman Belt was a person significant enough in local history that the community of Beltsville, Maryland, was named in his honor.
  • B. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • C. LeRoy
    LeRoy is the middle name of American political consultant and Republican strategist Lee Atwater.
  • D. LeRoy
    LeRoy is the middle name of Marion LeRoy Burton, an American educator and university president in the early 20th century.
  • E. Tucker
    Tucker is the criminal defendant whose custodial interrogation and subsequent appeal led to the U.S. Supreme Court decision in Michigan v. Tucker, which clarified the scope of Miranda-related protections.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e96e15708190b3a1cccfbbe65882 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.