Triple
T8180664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusuf Dadoo |
E191050
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dadoo |
E191050
|
NE FINISHED |
How this triple was built (2 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.
Dadoo
chosen
Dadoo is the surname of Yusuf Dadoo, a prominent South African anti-apartheid activist and political leader.
-
B.
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.
-
C.
Dube
Dube is a residential neighborhood in Soweto, South Africa, known for its historical significance in the anti-apartheid struggle.
-
D.
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.
-
E.
Thamsanqa
Thamsanqa is a given name of Southern African origin, notably used as the middle name of Trevor Thamsanqa Tutu, the son of Archbishop Desmond Tutu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ac012948190bb4e2448561692e6 |
completed | March 31, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf86f8848190a196f7c8d3ad2b36 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.