Triple

T408670
Position Surface form Disambiguated ID Type / Status
Subject Ngozi Okonjo-Iweala E9437 entity
Predicate spouse P13 FINISHED
Object Ikemba Iweala
Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
E51908 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: Ikemba Iweala | Statement: [Ngozi Okonjo-Iweala, spouse, Ikemba Iweala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikemba Iweala
Context triple: [Ngozi Okonjo-Iweala, spouse, Ikemba Iweala]
  • A. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • B. Mwanza
    Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
  • C. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • D. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • E. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • 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: Ikemba Iweala
Triple: [Ngozi Okonjo-Iweala, spouse, Ikemba Iweala]
Generated description
Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ikemba Iweala
Target entity description: Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • A. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • B. Mwanza
    Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
  • C. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • D. Rolihlahla
    Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • E. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbf0650819080753815ca280eec completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41777d794819099a07555ad2defe2 completed March 1, 2026, 10:39 a.m.
NEDg Description generation batch_69a418da55088190935babe9abae5ac4 completed March 1, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69a4196334948190a1f6004b1a292550 completed March 1, 2026, 10:48 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.