Triple

T13374735
Position Surface form Disambiguated ID Type / Status
Subject William Ruto E319155 entity
Predicate name P16 FINISHED
Object William Ruto E319155 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: William Ruto | Statement: [William Ruto, name, William Ruto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Ruto
Context triple: [William Ruto, name, William Ruto]
  • A. William Ruto chosen
    William Ruto is a Kenyan politician who serves as the country’s president and has long been a prominent figure in its national politics.
  • B. 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.
  • C. Moses Wetang'ula
    Moses Wetang'ula is a Kenyan politician and lawyer who has held several senior government positions, including leadership roles in parliament and key ministries.
  • D. Uhuru Kenyatta
    Uhuru Kenyatta is a Kenyan politician who served as the fourth President of Kenya from 2013 to 2022.
  • E. Mwai Kibaki
    Mwai Kibaki was a Kenyan economist and politician who served as the third President of Kenya from 2002 to 2013.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72684f3408190952d2619b6b8d241 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.