Triple

T20954418
Position Surface form Disambiguated ID Type / Status
Subject The River Between E516062 entity
Predicate mainCharacter P1183 FINISHED
Object Kabonyi
Kabonyi is a prominent antagonist in Ngũgĩ wa Thiong’o’s novel "The River Between," representing conservative traditionalism and opposition to the protagonist’s reformist ideals.
 E1459550 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: Kabonyi | Statement: [The River Between, mainCharacter, Kabonyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kabonyi
Context triple: [The River Between, mainCharacter, Kabonyi]
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • C. Kibembe
    Kibembe is a Bantu language spoken primarily by communities in and around the Uvira region of the eastern Democratic Republic of the Congo.
  • D. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • E. Kasongo
    Kasongo is a town in eastern Democratic Republic of the Congo that serves as an important local center in Maniema Province.
  • 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: Kabonyi
Triple: [The River Between, mainCharacter, Kabonyi]
Generated description
Kabonyi is a prominent antagonist in Ngũgĩ wa Thiong’o’s novel "The River Between," representing conservative traditionalism and opposition to the protagonist’s reformist ideals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kabonyi
Target entity description: Kabonyi is a prominent antagonist in Ngũgĩ wa Thiong’o’s novel "The River Between," representing conservative traditionalism and opposition to the protagonist’s reformist ideals.
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • C. Kibembe
    Kibembe is a Bantu language spoken primarily by communities in and around the Uvira region of the eastern Democratic Republic of the Congo.
  • D. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • E. Kasongo
    Kasongo is a town in eastern Democratic Republic of the Congo that serves as an important local center in Maniema Province.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae2299c8190afa1b9ec5bd9df32 completed April 21, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0927926a4881908a3aa2a088c2b2e1 completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0929b7db588190825b4c8b3aeacd6e completed May 17, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a092a2cd49c8190a9ee196d62d1bb1c completed May 17, 2026, 2:38 a.m.
Created at: April 16, 2026, 1:28 p.m.