Triple
T23364012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Zuma |
E593262
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Msholozi
Msholozi is the popular nickname of Jacob Zuma, the former President of South Africa and long-time African National Congress (ANC) leader.
|
E1583068
|
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: Msholozi | Statement: [Jacob Zuma, alsoKnownAs, Msholozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Msholozi Context triple: [Jacob Zuma, alsoKnownAs, Msholozi]
-
A.
Ngwenyama
Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
-
B.
Molefe
Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
-
C.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
-
D.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
-
E.
Mlolongo
Mlolongo is a rapidly growing urban town in Kenya’s Machakos County, situated along the Nairobi–Mombasa highway and known for its bustling commercial activity and residential estates.
- 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: Msholozi Triple: [Jacob Zuma, alsoKnownAs, Msholozi]
Generated description
Msholozi is the popular nickname of Jacob Zuma, the former President of South Africa and long-time African National Congress (ANC) leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Msholozi Target entity description: Msholozi is the popular nickname of Jacob Zuma, the former President of South Africa and long-time African National Congress (ANC) leader.
-
A.
Ngwenyama
Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
-
B.
Molefe
Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
-
C.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
-
D.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
-
E.
Mlolongo
Mlolongo is a rapidly growing urban town in Kenya’s Machakos County, situated along the Nairobi–Mombasa highway and known for its bustling commercial activity and residential estates.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aac4248190a4663ed12aed6856 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd78f508190b3b83e4cc2625163 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c60473de0819096d3b4e35da16295 |
completed | May 19, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60b52fe88190854803902df750c5 |
completed | May 19, 2026, 1:08 p.m. |
Created at: April 17, 2026, 5:31 p.m.