Triple
T13495014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak Black |
E320732
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Bill Kahan Kapri
Bill Kahan Kapri is the legal name of American rapper Kodak Black, known for his hit singles, distinctive vocal style, and frequent legal troubles.
|
E1043759
|
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: Bill Kahan Kapri | Statement: [Kodak Black, alsoKnownAs, Bill Kahan Kapri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Kahan Kapri Context triple: [Kodak Black, alsoKnownAs, Bill Kahan Kapri]
-
A.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
B.
Brian Capener
Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
-
C.
David Kahler
David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
-
D.
Keith Kaseman
Keith Kaseman is an American architect best known as the co-designer of the National 9/11 Pentagon Memorial in Arlington, Virginia.
-
E.
Ted Kaehler
Ted Kaehler is a computer scientist best known for his work on the Smalltalk programming language and object-oriented programming environments at Xerox PARC.
- 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: Bill Kahan Kapri Triple: [Kodak Black, alsoKnownAs, Bill Kahan Kapri]
Generated description
Bill Kahan Kapri is the legal name of American rapper Kodak Black, known for his hit singles, distinctive vocal style, and frequent legal troubles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Kahan Kapri Target entity description: Bill Kahan Kapri is the legal name of American rapper Kodak Black, known for his hit singles, distinctive vocal style, and frequent legal troubles.
-
A.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
B.
Brian Capener
Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
-
C.
David Kahler
David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
-
D.
Keith Kaseman
Keith Kaseman is an American architect best known as the co-designer of the National 9/11 Pentagon Memorial in Arlington, Virginia.
-
E.
Ted Kaehler
Ted Kaehler is a computer scientist best known for his work on the Smalltalk programming language and object-oriented programming environments at Xerox PARC.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463fe0d081908484a7f16859008a |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74d048250819098baf78ff08c1633 |
completed | May 3, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f750f7f11481908c60b49eef65b63f |
completed | May 3, 2026, 1:43 p.m. |
Created at: April 9, 2026, 9:43 p.m.