Triple

T20954373
Position Surface form Disambiguated ID Type / Status
Subject Weep Not, Child E516061 entity
Predicate mainCharacter P1183 FINISHED
Object Njoroge
Njoroge is the young Kenyan protagonist of Ngũgĩ wa Thiong’o’s novel "Weep Not, Child," whose coming-of-age unfolds amid the turmoil of colonial rule and the Mau Mau uprising.
 E1459545 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: Njoroge | Statement: [Weep Not, Child, mainCharacter, Njoroge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Njoroge
Context triple: [Weep Not, Child, mainCharacter, Njoroge]
  • A. Kamau
    Kamau is a masculine given name of African origin, notably borne by American comedian and television host W. Kamau Bell.
  • B. Rutenga
    Rutenga is a small town in southern Zimbabwe that serves as an important local commercial and transport hub within Mwenezi District.
  • C. Njoro
    Njoro is a town in Kenya’s Rift Valley region known for its agricultural activities and as the home of Egerton University.
  • D. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • E. Mbugwe
    Mbugwe are an ethnic group in northern Tanzania known for their distinct Bantu language and cultural traditions.
  • 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: Njoroge
Triple: [Weep Not, Child, mainCharacter, Njoroge]
Generated description
Njoroge is the young Kenyan protagonist of Ngũgĩ wa Thiong’o’s novel "Weep Not, Child," whose coming-of-age unfolds amid the turmoil of colonial rule and the Mau Mau uprising.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Njoroge
Target entity description: Njoroge is the young Kenyan protagonist of Ngũgĩ wa Thiong’o’s novel "Weep Not, Child," whose coming-of-age unfolds amid the turmoil of colonial rule and the Mau Mau uprising.
  • A. Kamau
    Kamau is a masculine given name of African origin, notably borne by American comedian and television host W. Kamau Bell.
  • B. Rutenga
    Rutenga is a small town in southern Zimbabwe that serves as an important local commercial and transport hub within Mwenezi District.
  • C. Njoro
    Njoro is a town in Kenya’s Rift Valley region known for its agricultural activities and as the home of Egerton University.
  • D. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • E. Mbugwe
    Mbugwe are an ethnic group in northern Tanzania known for their distinct Bantu language and cultural traditions.
  • 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_69e6fae154a481909f235165a46d0910 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.