Triple

T9162058
Position Surface form Disambiguated ID Type / Status
Subject R.C. Slocum E219847 entity
Predicate name P16 FINISHED
Object R.C. Slocum E219847 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: R.C. Slocum | Statement: [R.C. Slocum, name, R.C. Slocum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R.C. Slocum
Context triple: [R.C. Slocum, name, R.C. Slocum]
  • A. R.C. Slocum chosen
    R.C. Slocum is a longtime American college football coach best known for leading Texas A&M to sustained success and multiple conference titles in the late 20th century.
  • B. Erle C. Kenton
    Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
  • C. R. R. Grovey
    R. R. Grovey was the African American plaintiff in the landmark U.S. Supreme Court case Grovey v. Townsend, which challenged racially discriminatory primary election practices in Texas.
  • D. K. T. McFarland
    K. T. McFarland is an American foreign policy analyst and former government official who served in senior national security roles, including in the Trump administration.
  • E. R. T. Buell
    R. T. Buell was a prominent local figure and landowner in California whose influence led to the city of Buellton being named in his honor.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2c1a9881909b7100b6e436386d completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1610abbec81908743c1ef20fb39d4 completed April 4, 2026, 7:05 p.m.
Created at: March 30, 2026, 7:21 p.m.