Triple

T13696980
Position Surface form Disambiguated ID Type / Status
Subject Buckshot E328408 entity
Predicate associatedAct P37 FINISHED
Object Black Moon E1055245 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: Black Moon | Statement: [Buckshot, associatedAct, Black Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Moon
Context triple: [Buckshot, associatedAct, Black Moon]
  • A. Black Moon
    Black Moon was a prominent Hunkpapa Lakota leader known for his resistance to U.S. expansion during the late 19th century.
  • B. Black Moon
    Black Moon is a 1975 surrealist fantasy film by French director Louis Malle, noted for its dreamlike narrative and striking, unconventional imagery.
  • C. Black Moon chosen
    Black Moon is a Brooklyn-based hip hop group known for its gritty, jazz-influenced boom-bap sound and influential role in 1990s East Coast rap.
  • D. South Moon Under
    South Moon Under is a 1933 novel by Marjorie Kinnan Rawlings that portrays the harsh, rustic life of Florida backwoods settlers and helped establish her reputation in American literature.
  • E. Electric Moon
    Electric Moon is a 1992 Indian satirical comedy film directed by Pradip Krishen that lampoons postcolonial tourism and the legacy of the British Raj.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4f35888190b2c3df62bde1ce6e completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.