Triple

T15417436
Position Surface form Disambiguated ID Type / Status
Subject DJ Green Lantern E369278 entity
Predicate associatedAct P37 FINISHED
Object Dead Prez E421383 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: Dead Prez | Statement: [DJ Green Lantern, associatedAct, Dead Prez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead Prez
Context triple: [DJ Green Lantern, associatedAct, Dead Prez]
  • A. Dead Prez chosen
    Dead Prez is an American hip hop duo known for their politically charged, socially conscious lyrics and militant, revolutionary themes.
  • B. Ghostface Killah
    Ghostface Killah is an American rapper best known as a prominent member of the Wu-Tang Clan and for his vivid, storytelling solo work.
  • C. Pharoahe Monch
    Pharoahe Monch is an American rapper and lyricist known for his complex wordplay, intricate rhyme schemes, and influential work in underground hip-hop.
  • D. Elzhi
    Elzhi is an American rapper and lyricist from Detroit known for his intricate wordplay and work as a former member of the influential hip-hop group Slum Village.
  • E. DJ Homicide
    DJ Homicide is an American DJ and record producer best known as a member of the rock band Sugar Ray and for his work across hip hop and alternative music.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ea8a8a081909749db1b29d85fcc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.