Triple
T12916241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenani Mandela |
E308990
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zenani |
E270404
|
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: Zenani | Statement: [Zenani Mandela, givenName, Zenani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenani Context triple: [Zenani Mandela, givenName, Zenani]
-
A.
Zenani
chosen
Zenani is a South African diplomat and the daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
B.
Zana
Zana is a song featured on the album "Legend of the Sun Virgin" by Peruvian-Australian singer-songwriter and producer Gaby Moreno (performing as part of the project).
-
C.
Zana
Zana is a young girl character on the 1990s sitcom "The Sinbad Show," where she is one of the foster children cared for by Sinbad's character.
-
D.
Zenia
Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
-
E.
Nolani
Nolani are the inhabitants or natives of the city of Nola in southern Italy.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a571a3e48190a32d362adc6eaee2 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.