Triple
T1699062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusuf Dadoo |
E36726
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dadoo
Dadoo is the surname of Yusuf Dadoo, a prominent South African anti-apartheid activist and political leader.
|
E191050
|
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: Dadoo | Statement: [Yusuf Dadoo, familyName, Dadoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dadoo Context triple: [Yusuf Dadoo, familyName, Dadoo]
-
A.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
-
B.
Dube
Dube is a residential neighborhood in Soweto, South Africa, known for its historical significance in the anti-apartheid struggle.
-
C.
Sun Kosi
The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
-
D.
Mafadi
Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
-
E.
Lindi
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
- 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: Dadoo Triple: [Yusuf Dadoo, familyName, Dadoo]
Generated description
Dadoo is the surname of Yusuf Dadoo, a prominent South African anti-apartheid activist and political leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dadoo Target entity description: Dadoo is the surname of Yusuf Dadoo, a prominent South African anti-apartheid activist and political leader.
-
A.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
-
B.
Dube
Dube is a residential neighborhood in Soweto, South Africa, known for its historical significance in the anti-apartheid struggle.
-
C.
Sun Kosi
The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
-
D.
Mafadi
Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
-
E.
Lindi
Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62d3c57c81908887844e885062e3 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad799d59a48190b1efb101c2a67e4f |
completed | March 8, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69ad7a1223fc8190b7d62217c17f7517 |
completed | March 8, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b0787c88190a59a815fa808ac6b |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:30 p.m.