Triple

T10505061
Position Surface form Disambiguated ID Type / Status
Subject Arthur Mutambara E247764 entity
Predicate familyName P18 FINISHED
Object Mutambara
Mutambara is a Zimbabwean surname most notably associated with Arthur Mutambara, an engineer, academic, and prominent opposition politician.
E867464 NE FINISHED

How this triple was built (4 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: Mutambara | Statement: [Arthur Mutambara, familyName, Mutambara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutambara
Context triple: [Arthur Mutambara, familyName, Mutambara]
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • C. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • E. Roysambu
    Roysambu is a residential and commercial neighborhood in Nairobi, Kenya, known for its high-density housing, shopping centers, and proximity to major transport routes and universities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mutambara
Triple: [Arthur Mutambara, familyName, Mutambara]
Generated description
Mutambara is a Zimbabwean surname most notably associated with Arthur Mutambara, an engineer, academic, and prominent opposition politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mutambara
Target entity description: Mutambara is a Zimbabwean surname most notably associated with Arthur Mutambara, an engineer, academic, and prominent opposition politician.
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • C. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • E. Roysambu
    Roysambu is a residential and commercial neighborhood in Nairobi, Kenya, known for its high-density housing, shopping centers, and proximity to major transport routes and universities.
  • F. None of above. chosen

Provenance (5 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099f4dec8190a9851739c8bc9a69 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcd89ba481908653730b43e3d4ab completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:26 p.m.