Triple

T5238721
Position Surface form Disambiguated ID Type / Status
Subject South African Republic E118286 entity
Predicate notableLeader P304 FINISHED
Object Paul Kruger E3410 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: Paul Kruger | Statement: [South African Republic, notableLeader, Paul Kruger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Kruger
Context triple: [South African Republic, notableLeader, Paul Kruger]
  • A. Paul Kruger chosen
    Paul Kruger was a prominent Boer political and military leader who served as President of the South African Republic and became a central figure in resistance against British rule during the late 19th century.
  • B. Otto Kruger
    Otto Kruger was an American stage and film actor known for his suave, often villainous roles in Hollywood films of the 1930s and 1940s.
  • C. Paul Kruger Church
    Paul Kruger Church is a historic Christian church in Pretoria, South Africa, associated with the legacy of former Boer leader and president Paul Kruger.
  • D. A.B. Xuma
    A.B. Xuma was a prominent South African medical doctor and anti-apartheid leader who served as president of the African National Congress in the 1940s.
  • E. Lon Kruger
    Lon Kruger is an American college basketball coach known for leading multiple programs to the NCAA Tournament, including Final Four appearances with Florida and Oklahoma.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b290b88819095bc99c234260d25 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef823afd88190a3a41e7fff09d449 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.