Triple
T4037116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vic Mensa |
E83852
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
U Mad
"U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
|
E409628
|
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: U Mad | Statement: [Vic Mensa, notableWork, U Mad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U Mad Context triple: [Vic Mensa, notableWork, U Mad]
-
A.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
B.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
-
C.
MUHA
MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
D.
Murs
Murs is an American underground hip hop rapper known for his storytelling lyricism, independent ethos, and collaborations with artists like 9th Wonder and groups such as Living Legends.
-
E.
MAU
MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
- 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: U Mad Triple: [Vic Mensa, notableWork, U Mad]
Generated description
"U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U Mad Target entity description: "U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
-
A.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
B.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
-
C.
MUHA
MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
-
D.
Murs
Murs is an American underground hip hop rapper known for his storytelling lyricism, independent ethos, and collaborations with artists like 9th Wonder and groups such as Living Legends.
-
E.
MAU
MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb349e648190b9f227df4cd76fa0 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564436788190aff89ebfeeed6d9b |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b5572b27c48190989311cef00b5f44 |
completed | March 14, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55b333ffc8190a5df8b8d7bffa77f |
completed | March 14, 2026, 12:57 p.m. |
Created at: March 9, 2026, 3:36 p.m.