Triple

T3563681
Position Surface form Disambiguated ID Type / Status
Subject Doggumentary E75394 entity
Predicate producer P490 FINISHED
Object David Banner E345631 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: David Banner | Statement: [Doggumentary, producer, David Banner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Banner
Context triple: [Doggumentary, producer, David Banner]
  • A. David Banner chosen
    David Banner is an American rapper, record producer, and actor known for his Southern hip hop sound and socially conscious activism.
  • B. 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.
  • C. Busta Rhymes
    Busta Rhymes is an American rapper known for his rapid-fire delivery, energetic style, and influential role in 1990s and 2000s hip-hop.
  • D. Cormega
    Cormega is an American rapper from Queensbridge, New York, known for his gritty street narratives and association with the early Nas-led hip-hop collective The Firm.
  • E. Benny the Butcher
    Benny the Butcher is an American rapper from Buffalo, New York, known for his gritty street narratives, sharp lyricism, and work with the Griselda collective.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a60e6c8190a3c3ddae5b6ded54 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba91d08819081a433c9f06a2c2b completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.