Triple
T13672339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Kiba |
E327780
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Keyaan Ali
Keyaan Ali is known as one of the children of Tanzanian singer and songwriter Ali Kiba.
|
E1053041
|
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: Keyaan Ali | Statement: [Ali Kiba, hasChild, Keyaan Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keyaan Ali Context triple: [Ali Kiba, hasChild, Keyaan Ali]
-
A.
Idrees Sulieman
Idrees Sulieman was an American jazz trumpeter known for his work in the bebop era and collaborations with prominent bandleaders and ensembles.
-
B.
Jelani Alladin
Jelani Alladin is an American actor known for his work in television, film, and theater, including prominent roles in genre and dramatic productions.
-
C.
Aamir Simms
Aamir Simms is an American professional basketball player and former standout forward for the Clemson Tigers known for his versatility and leadership in college.
-
D.
Amar Khalil
Amar Khalil is an American R&B singer best known for his work with the influential Oakland-based group Tony! Toni! Toné!.
-
E.
Arsher Ali
Arsher Ali is a British actor known for his work in film, television, and theatre, including roles in projects such as the horror film "The Ritual."
- 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: Keyaan Ali Triple: [Ali Kiba, hasChild, Keyaan Ali]
Generated description
Keyaan Ali is known as one of the children of Tanzanian singer and songwriter Ali Kiba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keyaan Ali Target entity description: Keyaan Ali is known as one of the children of Tanzanian singer and songwriter Ali Kiba.
-
A.
Idrees Sulieman
Idrees Sulieman was an American jazz trumpeter known for his work in the bebop era and collaborations with prominent bandleaders and ensembles.
-
B.
Jelani Alladin
Jelani Alladin is an American actor known for his work in television, film, and theater, including prominent roles in genre and dramatic productions.
-
C.
Aamir Simms
Aamir Simms is an American professional basketball player and former standout forward for the Clemson Tigers known for his versatility and leadership in college.
-
D.
Amar Khalil
Amar Khalil is an American R&B singer best known for his work with the influential Oakland-based group Tony! Toni! Toné!.
-
E.
Arsher Ali
Arsher Ali is a British actor known for his work in film, television, and theatre, including roles in projects such as the horror film "The Ritual."
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:53 p.m.