Triple
T14600686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long. Live. A$AP |
E342694
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
Fashion Killa
"Fashion Killa" is a stylish, fashion-centric hip-hop track by A$AP Rocky that name-drops numerous luxury brands and became one of his signature songs.
|
E1108789
|
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: Fashion Killa | Statement: [Long. Live. A$AP, hasSingle, Fashion Killa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fashion Killa Context triple: [Long. Live. A$AP, hasSingle, Fashion Killa]
-
A.
Masta Killa
Masta Killa is an American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
B.
Karisma
Karisma is the first name of Karisma Kapoor, a prominent Indian film actress known for her work in Hindi cinema since the 1990s.
-
C.
Killa
Killa is the Aymara or Quechua name for Killa Island, a location whose name derives from Indigenous Andean languages.
-
D.
Zanjeer
Zanjeer is a landmark 1973 Indian action film that transformed Amitabh Bachchan into Bollywood’s iconic “angry young man” and helped redefine the Hindi film hero archetype.
-
E.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
- 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: Fashion Killa Triple: [Long. Live. A$AP, hasSingle, Fashion Killa]
Generated description
"Fashion Killa" is a stylish, fashion-centric hip-hop track by A$AP Rocky that name-drops numerous luxury brands and became one of his signature songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fashion Killa Target entity description: "Fashion Killa" is a stylish, fashion-centric hip-hop track by A$AP Rocky that name-drops numerous luxury brands and became one of his signature songs.
-
A.
Masta Killa
Masta Killa is an American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
B.
Karisma
Karisma is the first name of Karisma Kapoor, a prominent Indian film actress known for her work in Hindi cinema since the 1990s.
-
C.
Killa
Killa is the Aymara or Quechua name for Killa Island, a location whose name derives from Indigenous Andean languages.
-
D.
Zanjeer
Zanjeer is a landmark 1973 Indian action film that transformed Amitabh Bachchan into Bollywood’s iconic “angry young man” and helped redefine the Hindi film hero archetype.
-
E.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd973985b881908f0c2fd201db8104 |
completed | May 8, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9843857c819089eb96564b8a9503 |
completed | May 8, 2026, 8:01 a.m. |
Created at: April 10, 2026, 1:25 a.m.