Triple

T22843141
Position Surface form Disambiguated ID Type / Status
Subject Beat Generation series E566135 entity
Predicate features P997 FINISHED
Object King Britt 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: King Britt | Statement: [Beat Generation series, features, King Britt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Britt
Context triple: [Beat Generation series, features, King Britt]
  • A. King Britt chosen
    King Britt is an American DJ, producer, and composer known for his innovative blend of house, hip-hop, jazz, and electronic music.
  • B. Bille Kingdom
    Bille Kingdom is a traditional Niger Delta polity of the Bille people, known for its riverine communities, cultural heritage, and historical role in regional trade and politics in present-day Nigeria.
  • C. King Moody
    King Moody was an American character actor best known for his comedic roles in film and television during the mid-20th century.
  • D. King
    "King" is a 2005 action-crime film directed by Craig R. Baxley, known for its gritty portrayal of underworld power struggles.
  • E. King
    The King of Norway is the constitutional monarch and ceremonial head of state in Norway’s parliamentary system.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e866080819091adfb41cd2a4e13 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.