Triple

T19587775
Position Surface form Disambiguated ID Type / Status
Subject African Association E470147 entity
Predicate foundedBy P104 FINISHED
Object John Tarleton 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: John Tarleton | Statement: [African Association, foundedBy, John Tarleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tarleton
Context triple: [African Association, foundedBy, John Tarleton]
  • A. John Tarleton chosen
    John Tarleton was an 18th-century English merchant and politician from Liverpool, known for his involvement in the Atlantic slave trade and as the father of British cavalry officer Banastre Tarleton.
  • B. John Tarleton
    John Tarleton was a Texas rancher and philanthropist whose endowment led to the creation of what is now Tarleton State University.
  • C. Allen Coulter
    Allen Coulter is an American film and television director best known for his stylish, character-driven work on series like The Sopranos and Boardwalk Empire as well as feature films.
  • D. Kevin Dobson
    Kevin Dobson was an American actor best known for his television roles in series such as Kojak and Knots Landing.
  • E. Bob Reeves
    Bob Reeves was an American character actor known for his numerous supporting roles in early 20th-century Western films and serials.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64052f61c81908bb49927d4246030 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.