Triple

T19553593
Position Surface form Disambiguated ID Type / Status
Subject Urban Legend E489252 entity
Predicate producer P490 FINISHED
Object Daz Dillinger NE NERFINISHED

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: Daz Dillinger | Statement: [Urban Legend, producer, Daz Dillinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daz Dillinger
Context triple: [Urban Legend, producer, Daz Dillinger]
  • A. Daz Dillinger chosen
    Daz Dillinger is an American rapper and record producer best known for his work with Death Row Records and as a member of the hip hop duo Tha Dogg Pound.
  • B. Danny Brown
    Danny Brown is an American rapper known for his eccentric style, high-pitched delivery, and critically acclaimed albums like "XXX" and "Atrocity Exhibition."
  • C. Sheff G
    Sheff G is a Brooklyn-based rapper recognized as one of the pioneers who helped popularize the New York drill sound.
  • D. Dexta Daps
    Dexta Daps is a Jamaican dancehall and reggae artist known for his smooth vocals and sensual, street-influenced songs.
  • E. Deric "D-Dot" Angelettie
    Deric "D-Dot" Angelettie is an American hip-hop producer and rapper best known for his work with Bad Boy Records and his influential role in shaping the sound of 1990s East Coast rap.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d3254548190828a5f7e9a851ef8 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.