Triple

T4482834
Position Surface form Disambiguated ID Type / Status
Subject Wangechi Mutu E100172 entity
Predicate nationality P2 FINISHED
Object Kenyan E406163 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: Kenyan | Statement: [Wangechi Mutu, nationality, Kenyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyan
Context triple: [Wangechi Mutu, nationality, Kenyan]
  • A. Kenyan chosen
    Kenyan refers to a person from Kenya, an East African country known for its diverse cultures, languages, and rich history.
  • B. Gikuyu
    Gikuyu is an alternative name for the Kikuyu, the largest ethnic group in Kenya known for their Bantu language and significant cultural and political influence in the country.
  • C. Kenya
    Kenya is an East African country known for its diverse wildlife, scenic landscapes from savannas to highlands, and a coastline along the Indian Ocean.
  • D. Kenyan diaspora
    The Kenyan diaspora comprises people of Kenyan origin living outside Kenya who maintain cultural, social, and often political ties to their homeland.
  • E. Central Province, Kenya
    Central Province, Kenya was a former administrative region in central Kenya known for its fertile highlands, tea and coffee production, and predominantly Kikuyu population.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fd35088190be79efc6c7317e2a completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63782b8588190ba34c923ed4b792d completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:36 p.m.