Triple
T11882995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papyrus of Ani |
E282701
|
entity |
| Predicate | associatedPerson |
P2308
|
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: [Papyrus of Ani, associatedPerson, Tutu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tutu Context triple: [Papyrus of Ani, associatedPerson, 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.
KANGA
"KANGA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
D.
Tsitsi
Tsitsi is a Zimbabwean given name notably borne by acclaimed novelist and filmmaker Tsitsi Dangarembga.
-
E.
Adelaide Tambo
Adelaide Tambo was a prominent South African anti-apartheid activist and nurse who played a key role in the African National Congress and in supporting political exiles.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a02ad4819090faef0e0be732ee |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281e6f8888190bc8495b1261a86df |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.