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.