Triple
T13769668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpho Tutu van Furth |
E330846
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tutu |
E327625
|
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: Tutu | Statement: [Mpho Tutu van Furth, familyName, Tutu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tutu Context triple: [Mpho Tutu van Furth, familyName, Tutu]
-
A.
Tutu
Tutu is a residential and commercial community on the island of Saint Thomas in the U.S. Virgin Islands.
-
B.
Tutu
chosen
Tutu is a South African surname most prominently associated with Archbishop Desmond Tutu and his family, known for their role in the anti-apartheid movement and social justice advocacy.
-
C.
Tutu
Tutu is the wife of Ani, the Theban scribe featured in the ancient Egyptian funerary text known as the Papyrus of Ani.
-
D.
KANGA
"KANGA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
E.
Tsitsi
Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a866e7cc8190a0381f4469193b6e |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.