Triple

T18896495
Position Surface form Disambiguated ID Type / Status
Subject Francis Muthaura E462221 entity
Predicate appointedBy P257 FINISHED
Object Mwai Kibaki 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: Mwai Kibaki | Statement: [Francis Muthaura, appointedBy, Mwai Kibaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mwai Kibaki
Context triple: [Francis Muthaura, appointedBy, Mwai Kibaki]
  • A. Mwai Kibaki chosen
    Mwai Kibaki was a Kenyan economist and politician who served as the third President of Kenya from 2002 to 2013.
  • B. William Ruto
    William Ruto is a Kenyan politician who serves as the country’s president and has long been a prominent figure in its national politics.
  • C. Francis Muthaura
    Francis Muthaura is a Kenyan diplomat and civil servant who became a prominent regional figure through his leadership roles in East African and national government institutions.
  • D. Uhuru Kenyatta
    Uhuru Kenyatta is a Kenyan politician who served as the fourth President of Kenya from 2013 to 2022.
  • E. Lucy Kibaki
    Lucy Kibaki was the former First Lady of Kenya, known for her outspoken personality and her role as the wife of President Mwai Kibaki.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47f6c948190918ade08bb88f1fd completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.