Triple

T12201305
Position Surface form Disambiguated ID Type / Status
Subject Akrobatik E290715 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Mr. Lif E971509 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: Mr. Lif | Statement: [Akrobatik, hasCollaboratedWith, Mr. Lif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Lif
Context triple: [Akrobatik, hasCollaboratedWith, Mr. Lif]
  • A. Mr. Lif chosen
    Mr. Lif is an American underground hip hop MC and producer from Boston known for his politically charged lyrics and work with the Definitive Jux label.
  • B. Lord Finesse
    Lord Finesse is an American hip-hop MC and producer from the Bronx, best known as a founding member of the Diggin' in the Crates Crew and for his influential work in 1990s East Coast rap.
  • C. Doug E. Fresh
    Doug E. Fresh is an American rapper, record producer, and pioneering human beatbox artist widely regarded as one of the originators of beatboxing in hip-hop.
  • D. Don Life
    Don Life is a track from Big Sean’s album "Detroit 2," known for its energetic production and motivational, success-focused lyrics.
  • E. Rammellzee
    Rammellzee was an influential American graffiti artist, hip-hop musician, and theorist known for his futuristic, letter-based visual style and contributions to New York’s 1980s downtown art scene.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c79f6cc8190ae8163d2016078c0 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e549e688190967c00f437a388db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:50 p.m.