Triple

T6116219
Position Surface form Disambiguated ID Type / Status
Subject Mase E136365 entity
Predicate stageName P7872 FINISHED
Object Ma$e E184952 NE FINISHED

How this triple was built (2 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: Ma$e | Statement: [Mase, stageName, Ma$e]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ma$e
Context triple: [Mase, stageName, Ma$e]
  • A. Ma$e chosen
    Ma$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. 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.
  • C. 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.
  • D. MAI
    MAI is the commonly used abbreviation for Romania’s Ministry of Internal Affairs, the government body responsible for internal security, public order, and civil administration.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc246e48190b4f3d52eb682aa45 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256aa9f8819090fdc98343af6f8e completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.