Triple
T23191737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Dane |
E579758
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Kangol Kid
Kangol Kid was a pioneering Haitian-American rapper and member of the old-school hip hop group UTFO, known for helping popularize hip hop fashion and style in the 1980s.
|
E1573830
|
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: Kangol Kid | Statement: [Dana Dane, associatedAct, Kangol Kid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangol Kid Context triple: [Dana Dane, associatedAct, Kangol Kid]
-
A.
Kiddo
Kiddo is a music producer known for working on the track "Elevation."
-
B.
The Hat
The Hat is a member of the superpowered vigilante group The Elite in the DC Comics universe, known for his magical hat that grants him a wide array of mystical abilities.
-
C.
Boys Kasa
"Boys Kasa" is a popular Ghanaian Afrobeats and hip-hop song by the music duo R2Bees, known for its catchy hook and star-studded guest features.
-
D.
Kippa
Kippa is a young, fox-like Arcanic girl from the comic series "Monstress," known for her innocence, loyalty, and moral compass amid the story’s dark, war-torn world.
-
E.
Monki
Monki is a youth-oriented fashion brand offering playful, trend-driven clothing and accessories under the H&M Group.
- 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: Kangol Kid Triple: [Dana Dane, associatedAct, Kangol Kid]
Generated description
Kangol Kid was a pioneering Haitian-American rapper and member of the old-school hip hop group UTFO, known for helping popularize hip hop fashion and style in the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kangol Kid Target entity description: Kangol Kid was a pioneering Haitian-American rapper and member of the old-school hip hop group UTFO, known for helping popularize hip hop fashion and style in the 1980s.
-
A.
Kiddo
Kiddo is a music producer known for working on the track "Elevation."
-
B.
The Hat
The Hat is a member of the superpowered vigilante group The Elite in the DC Comics universe, known for his magical hat that grants him a wide array of mystical abilities.
-
C.
Boys Kasa
"Boys Kasa" is a popular Ghanaian Afrobeats and hip-hop song by the music duo R2Bees, known for its catchy hook and star-studded guest features.
-
D.
Kippa
Kippa is a young, fox-like Arcanic girl from the comic series "Monstress," known for her innocence, loyalty, and moral compass amid the story’s dark, war-torn world.
-
E.
Monki
Monki is a youth-oriented fashion brand offering playful, trend-driven clothing and accessories under the H&M Group.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd86640819092308751d23c6642 |
completed | April 29, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30ba98348190ba810aaaeb7abb84 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c336753ac819085038351f38039d8 |
completed | May 19, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c341aead08190955638f4ce8c1c32 |
completed | May 19, 2026, 9:57 a.m. |
Created at: April 17, 2026, 4:06 p.m.