Triple

T13893770
Position Surface form Disambiguated ID Type / Status
Subject Jamil E334035 entity
Predicate hasVariant P455 FINISHED
Object Jamilu
Jamilu is a masculine given name, commonly used in parts of Africa and the Muslim world, that is a variant of the name Jamil.
E1067628 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: Jamilu | Statement: [Jamil, hasVariant, Jamilu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamilu
Context triple: [Jamil, hasVariant, Jamilu]
  • A. Tajudeen
    Tajudeen is a Nigerian politician and academic who serves as the Speaker of the House of Representatives of Nigeria.
  • B. Abubakar
    Abubakar is the given name of Abubakar Tafawa Balewa, Nigeria’s first Prime Minister and a prominent statesman in the country’s early post-independence history.
  • C. Attahiru Jega
    Attahiru Jega is a Nigerian academic and former chairman of the Independent National Electoral Commission (INEC), known for overseeing key electoral reforms and the 2011 and 2015 general elections.
  • D. Abdullahi
    Abdullahi is a given name most notably borne by Abdullahi Umar Ganduje, a Nigerian politician and former governor of Kano State.
  • E. Ebrahim Adia
    Ebrahim Adia is a British higher education leader who serves as Vice-Chancellor of the University of Wolverhampton.
  • 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: Jamilu
Triple: [Jamil, hasVariant, Jamilu]
Generated description
Jamilu is a masculine given name, commonly used in parts of Africa and the Muslim world, that is a variant of the name Jamil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jamilu
Target entity description: Jamilu is a masculine given name, commonly used in parts of Africa and the Muslim world, that is a variant of the name Jamil.
  • A. Tajudeen
    Tajudeen is a Nigerian politician and academic who serves as the Speaker of the House of Representatives of Nigeria.
  • B. Abubakar
    Abubakar is the given name of Abubakar Tafawa Balewa, Nigeria’s first Prime Minister and a prominent statesman in the country’s early post-independence history.
  • C. Attahiru Jega
    Attahiru Jega is a Nigerian academic and former chairman of the Independent National Electoral Commission (INEC), known for overseeing key electoral reforms and the 2011 and 2015 general elections.
  • D. Abdullahi
    Abdullahi is a given name most notably borne by Abdullahi Umar Ganduje, a Nigerian politician and former governor of Kano State.
  • E. Ebrahim Adia
    Ebrahim Adia is a British higher education leader who serves as Vice-Chancellor of the University of Wolverhampton.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71ca8a881908ac02687fbfe62fb completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:15 p.m.