Triple

T1787228
Position Surface form Disambiguated ID Type / Status
Subject Elevation E39419 entity
Predicate producer P490 FINISHED
Object DJ Ammo E198373 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: DJ Ammo | Statement: [Elevation, producer, DJ Ammo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DJ Ammo
Context triple: [Elevation, producer, DJ Ammo]
  • A. DJ Ammo chosen
    DJ Ammo is an American record producer and DJ best known for his work on mainstream pop and dance tracks, including collaborations with The Black Eyed Peas.
  • B. DJ Enuff
    DJ Enuff is an American hip-hop DJ and producer best known as a member of The Notorious B.I.G.’s production circle and a prominent New York radio personality.
  • C. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • D. DJ Dahi
    DJ Dahi is an American record producer and DJ known for his innovative, genre-blending work with major hip-hop and R&B artists.
  • E. DJ Toomp
    DJ Toomp is an American record producer and DJ best known for his influential work in Southern hip hop, including crafting hits for artists like T.I. and Kanye West.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf52266081909b7478d76664d387 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.