Triple

T5366863
Position Surface form Disambiguated ID Type / Status
Subject Ngũgĩ wa Thiong’o E103150 entity
Predicate spouse P13 FINISHED
Object Njeeri wa Ngũgĩ
Njeeri wa Ngũgĩ is a Kenyan academic and activist best known as the wife and longtime collaborator of renowned writer Ngũgĩ wa Thiong’o.
 E516079 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: Njeeri wa Ngũgĩ | Statement: [Ngũgĩ wa Thiong’o, spouse, Njeeri wa Ngũgĩ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Njeeri wa Ngũgĩ
Context triple: [Ngũgĩ wa Thiong’o, spouse, Njeeri wa Ngũgĩ]
  • A. Husuni Ndogo
    Husuni Ndogo is a small medieval coastal fortification on Kilwa Kisiwani in Tanzania, associated with the historic Swahili trading civilization.
  • B. Nakate
    Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
  • C. Ngeno-Ngene
    Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
  • D. Gambiri Kati
    Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
  • E. Mavumengwana kaNdlela Ntuli
    Mavumengwana kaNdlela Ntuli was a Zulu military leader who played a key command role in the Anglo-Zulu War, notably at the Battle of Isandlwana in 1879.
  • 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: Njeeri wa Ngũgĩ
Triple: [Ngũgĩ wa Thiong’o, spouse, Njeeri wa Ngũgĩ]
Generated description
Njeeri wa Ngũgĩ is a Kenyan academic and activist best known as the wife and longtime collaborator of renowned writer Ngũgĩ wa Thiong’o.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Njeeri wa Ngũgĩ
Target entity description: Njeeri wa Ngũgĩ is a Kenyan academic and activist best known as the wife and longtime collaborator of renowned writer Ngũgĩ wa Thiong’o.
  • A. Husuni Ndogo
    Husuni Ndogo is a small medieval coastal fortification on Kilwa Kisiwani in Tanzania, associated with the historic Swahili trading civilization.
  • B. Nakate
    Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
  • C. Ngeno-Ngene
    Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
  • D. Gambiri Kati
    Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
  • E. Mavumengwana kaNdlela Ntuli
    Mavumengwana kaNdlela Ntuli was a Zulu military leader who played a key command role in the Anglo-Zulu War, notably at the Battle of Isandlwana in 1879.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8684103081908ed79625b59e4b24 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2924caf48190b05f3ccbe54997d7 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a09891c81908509695a41d1aa02 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2ad48fc48190bb0c7de4df879c3b completed March 21, 2026, 11:33 p.m.
Created at: March 20, 2026, 2:02 p.m.