Triple

T3890972
Position Surface form Disambiguated ID Type / Status
Subject Nashville sit-ins E88059 entity
Predicate keyFigure P256 FINISHED
Object Kelly Miller Smith E427355 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: Kelly Miller Smith | Statement: [Nashville sit-ins, keyFigure, Kelly Miller Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Miller Smith
Context triple: [Nashville sit-ins, keyFigure, Kelly Miller Smith]
  • A. Kelly Miller Smith chosen
    Kelly Miller Smith was an influential African American Baptist minister and civil rights leader in Nashville who played a key role in organizing nonviolent protests during the Civil Rights Movement.
  • B. Mary Louise Smith
    Mary Louise Smith was a young African American civil rights activist whose refusal to give up her bus seat in Montgomery, Alabama, helped lead to the landmark desegregation case Browder v. Gayle.
  • C. Emma T. Townsend
    Emma T. Townsend was the wife of prominent American steel industry magnate and U.S. Steel co-founder Elbert H. Gary.
  • D. Molly Smith
    Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
  • E. Molly Smith
    Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb0ba448190aa076865b7762002 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6ed5910819095de0dce09bd50b8 completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:21 p.m.