Triple
T8438575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Luthuli |
E199291
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mvumbi
Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
|
E733433
|
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: Mvumbi | Statement: [Albert Luthuli, givenName, Mvumbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mvumbi Context triple: [Albert Luthuli, givenName, Mvumbi]
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Mambasa
Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
-
C.
Lumbu
Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
-
D.
Iluka
Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
-
E.
Kumba
Kumba is a major town in southwestern Cameroon known as a commercial hub and cultural crossroads where languages like Cameroonian Pidgin English are widely used.
- 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: Mvumbi Triple: [Albert Luthuli, givenName, Mvumbi]
Generated description
Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mvumbi Target entity description: Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Mambasa
Mambasa is a town and administrative center located in the forested Ituri region of northeastern Democratic Republic of the Congo.
-
C.
Lumbu
Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
-
D.
Iluka
Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
-
E.
Kumba
Kumba is a major town in southwestern Cameroon known as a commercial hub and cultural crossroads where languages like Cameroonian Pidgin English are widely used.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe135657c81908ed8156fbfbef6ec |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d87403c8190b979af4979e43517 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1f12e1a081909d28b06c520353ef |
completed | April 2, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fb498448190a2737b8895f6bb48 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:08 p.m.