Triple
T8710340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahle-Work Zewde |
E206758
|
entity |
| Predicate | position held |
P8
|
FINISHED |
| Object |
Director-General of the United Nations Office at Nairobi (UNON)
The Director-General of the United Nations Office at Nairobi (UNON) is the senior UN official responsible for overseeing and coordinating the organization’s administrative and logistical operations at its main headquarters in Africa.
|
E753683
|
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: Director-General of the United Nations Office at Nairobi (UNON) | Statement: [Sahle-Work Zewde, position held, Director-General of the United Nations Office at Nairobi (UNON)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Director-General of the United Nations Office at Nairobi (UNON) Context triple: [Sahle-Work Zewde, position held, Director-General of the United Nations Office at Nairobi (UNON)]
-
A.
Executive Secretary of the United Nations Economic Commission for Africa
The Executive Secretary of the United Nations Economic Commission for Africa is the chief executive and highest-ranking official responsible for leading ECA’s work to promote economic and social development across the African continent.
-
B.
Director General of UNIDO
The Director General of UNIDO is the chief executive officer of the United Nations Industrial Development Organization, responsible for providing strategic leadership and overseeing its global industrial development programs.
-
C.
Under-Secretary-General of the United Nations
The Under-Secretary-General of the United Nations is a senior UN official who heads major departments or offices and assists the Secretary-General in managing the organization’s global work.
-
D.
Secretary General of the East African Community
The Secretary General of the East African Community is the chief executive officer and principal administrator responsible for coordinating and overseeing the implementation of policies and programs of the regional intergovernmental organization.
-
E.
Chancellor of the University of Nairobi
The Chancellor of the University of Nairobi is the ceremonial head of Kenya’s largest and oldest public university, presiding over key institutional functions such as graduations and the conferment of degrees.
- 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: Director-General of the United Nations Office at Nairobi (UNON) Triple: [Sahle-Work Zewde, position held, Director-General of the United Nations Office at Nairobi (UNON)]
Generated description
The Director-General of the United Nations Office at Nairobi (UNON) is the senior UN official responsible for overseeing and coordinating the organization’s administrative and logistical operations at its main headquarters in Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Director-General of the United Nations Office at Nairobi (UNON) Target entity description: The Director-General of the United Nations Office at Nairobi (UNON) is the senior UN official responsible for overseeing and coordinating the organization’s administrative and logistical operations at its main headquarters in Africa.
-
A.
Executive Secretary of the United Nations Economic Commission for Africa
The Executive Secretary of the United Nations Economic Commission for Africa is the chief executive and highest-ranking official responsible for leading ECA’s work to promote economic and social development across the African continent.
-
B.
Director General of UNIDO
The Director General of UNIDO is the chief executive officer of the United Nations Industrial Development Organization, responsible for providing strategic leadership and overseeing its global industrial development programs.
-
C.
Under-Secretary-General of the United Nations
The Under-Secretary-General of the United Nations is a senior UN official who heads major departments or offices and assists the Secretary-General in managing the organization’s global work.
-
D.
Secretary General of the East African Community
The Secretary General of the East African Community is the chief executive officer and principal administrator responsible for coordinating and overseeing the implementation of policies and programs of the regional intergovernmental organization.
-
E.
Chancellor of the University of Nairobi
The Chancellor of the University of Nairobi is the ceremonial head of Kenya’s largest and oldest public university, presiding over key institutional functions such as graduations and the conferment of degrees.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28c174008190bc2d43ca613e9a9e |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd14c3c8190b43840ee57cca22c |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2cb3c4308190971fb3d25064f205 |
completed | April 3, 2026, 2:57 a.m. |
Created at: March 30, 2026, 6:35 p.m.