Triple
T12366303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amandla Stenberg |
E294878
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Amandla
Amandla is a unisex given name of Xhosa and Zulu origin meaning "power" or "strength."
|
E977379
|
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: Amandla | Statement: [Amandla Stenberg, givenName, Amandla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amandla Context triple: [Amandla Stenberg, givenName, Amandla]
-
A.
Shosholoza
Shosholoza is a traditional South African folk song, often associated with mine workers and later adopted as an unofficial sporting anthem.
-
B.
Lungi Ngidi
Lungi Ngidi is a South African fast bowler known for his pace, bounce, and impactful performances in international cricket across formats.
-
C.
Gule Wamkulu
Gule Wamkulu is a secretive, ritual masked dance and spiritual performance central to the cultural and religious life of the Chewa people of Malawi, Zambia, and Mozambique.
-
D.
Thuso Mbedu
Thuso Mbedu is a South African actress acclaimed for her powerful performances in international television and film, earning recognition and award nominations for her dramatic roles.
-
E.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
- 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: Amandla Triple: [Amandla Stenberg, givenName, Amandla]
Generated description
Amandla is a unisex given name of Xhosa and Zulu origin meaning "power" or "strength."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amandla Target entity description: Amandla is a unisex given name of Xhosa and Zulu origin meaning "power" or "strength."
-
A.
Shosholoza
Shosholoza is a traditional South African folk song, often associated with mine workers and later adopted as an unofficial sporting anthem.
-
B.
Lungi Ngidi
Lungi Ngidi is a South African fast bowler known for his pace, bounce, and impactful performances in international cricket across formats.
-
C.
Gule Wamkulu
Gule Wamkulu is a secretive, ritual masked dance and spiritual performance central to the cultural and religious life of the Chewa people of Malawi, Zambia, and Mozambique.
-
D.
Thuso Mbedu
Thuso Mbedu is a South African actress acclaimed for her powerful performances in international television and film, earning recognition and award nominations for her dramatic roles.
-
E.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa502988190ba170dee90d9f394 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c57a26081908d6903906f6e04f0 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.