Triple

T17874774
Position Surface form Disambiguated ID Type / Status
Subject Leamon King E446924 entity
Predicate name P16 FINISHED
Object Leamon King NE NERFINISHED

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: Leamon King | Statement: [Leamon King, name, Leamon King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leamon King
Context triple: [Leamon King, name, Leamon King]
  • A. Leamon King chosen
    Leamon King was an American sprinter and Olympic gold medalist known for his world-record performances in the 100 meters during the 1950s.
  • B. Anthony King
    Anthony King is an American television writer, producer, and comedian known for his work on series such as The Afterparty and Broad City.
  • C. James Lawrence King
    James Lawrence King is a senior United States District Judge for the Southern District of Florida, known for his long tenure and significant influence on the federal judiciary in the region.
  • D. Barrington King
    Barrington King was a prominent 19th-century Georgia landowner and industrialist, best known as the co-founder of the mill town of Roswell.
  • E. Jamal King
    Jamal King is a comedic stoner protagonist portrayed by Method Man in the 2001 film "How High."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa54d1481908c0af8533edd51c4 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.