Triple

T6473726
Position Surface form Disambiguated ID Type / Status
Subject Tha Carter V E146016 entity
Predicate producer P490 FINISHED
Object Monsta Beatz E593432 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: Monsta Beatz | Statement: [Tha Carter V, producer, Monsta Beatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monsta Beatz
Context triple: [Tha Carter V, producer, Monsta Beatz]
  • A. MonstaBeatz chosen
    MonstaBeatz is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for New Orleans rapper Lil Wayne and other Southern rap artists.
  • B. Murda Beatz
    Murda Beatz is a Canadian record producer and songwriter known for crafting trap and hip-hop hits for major artists like Migos, Drake, and Travis Scott.
  • C. Kane Beatz
    Kane Beatz is an American record producer known for crafting hit hip-hop and rap tracks for major artists such as Lil Wayne, Nicki Minaj, and Trey Songz.
  • D. Swizz Beatz
    Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
  • E. Legendury Beatz
    Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a32c0188190bcb3c35fc1d796a6 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40c193c8190b4d7acd4530121f0 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:50 p.m.