Triple
T6383744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangari Maathai |
E143648
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wangari
Wangari is a given name most notably borne by Wangari Maathai, the Kenyan environmentalist and Nobel Peace Prize laureate.
|
E590254
|
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: Wangari | Statement: [Wangari Maathai, givenName, Wangari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangari Context triple: [Wangari Maathai, givenName, Wangari]
-
A.
Nakate
Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
-
B.
Martha Karua
Martha Karua is a prominent Kenyan lawyer, politician, and former Minister of Justice known for her advocacy for constitutional reform, human rights, and good governance.
-
C.
Lindi
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
-
D.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
E.
Ngwena
Ngwena is the nickname of Emmerson Mnangagwa, the Zimbabwean politician and president known for his long-standing role in the country’s ruling party and post-Mugabe leadership.
- 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: Wangari Triple: [Wangari Maathai, givenName, Wangari]
Generated description
Wangari is a given name most notably borne by Wangari Maathai, the Kenyan environmentalist and Nobel Peace Prize laureate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wangari Target entity description: Wangari is a given name most notably borne by Wangari Maathai, the Kenyan environmentalist and Nobel Peace Prize laureate.
-
A.
Nakate
Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
-
B.
Martha Karua
Martha Karua is a prominent Kenyan lawyer, politician, and former Minister of Justice known for her advocacy for constitutional reform, human rights, and good governance.
-
C.
Lindi
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
-
D.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
E.
Ngwena
Ngwena is the nickname of Emmerson Mnangagwa, the Zimbabwean politician and president known for his long-standing role in the country’s ruling party and post-Mugabe leadership.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06856434481909cbbca1c12c6e070 |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638791ce8819081aeec3b11e1c96e |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63a481084819088f894ffe3bbee6f |
completed | March 27, 2026, 8:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63ab1e13c8190941888ed65574f7d |
completed | March 27, 2026, 8:07 a.m. |
Created at: March 22, 2026, 4:34 p.m.