Triple

T13052387
Position Surface form Disambiguated ID Type / Status
Subject Frederick Mutesa II E327478 entity
Predicate familyName P18 FINISHED
Object Mutesa E327478 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: Mutesa | Statement: [Frederick Mutesa II, familyName, Mutesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutesa
Context triple: [Frederick Mutesa II, familyName, Mutesa]
  • A. Frederick Mutesa II chosen
    Frederick Mutesa II was the Kabaka (king) of Buganda who became Uganda’s first president after independence, symbolizing the country’s transition from monarchy and colonial rule to a modern republic.
  • B. Kabaka Ronald Muwenda Mutebi II
    Kabaka Ronald Muwenda Mutebi II is the reigning king of Buganda, a prominent traditional monarchy and cultural institution within modern-day Uganda.
  • C. Mwanga
    Mwanga is a small town in northeastern Tanzania that serves as an administrative and commercial center near Mount Kilimanjaro.
  • D. Harry Mwanga Nkumbula
    Harry Mwanga Nkumbula was a prominent Zambian nationalist leader and politician who played a key role in the country’s struggle for independence.
  • E. Inshuti Mu Buzima
    Inshuti Mu Buzima is the Rwandan branch of Partners In Health, working with the government to strengthen the health system and deliver high-quality care in rural communities.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b98fa081908cfa92116799e874 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ff8c308190a40274c68a1c5da3 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:57 p.m.