Triple

T16554507
Position Surface form Disambiguated ID Type / Status
Subject Let Them Eat Bingo E402158 entity
Predicate hasTrack P3284 FINISHED
Object Burundi Blues E402165 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: Burundi Blues | Statement: [Let Them Eat Bingo, hasTrack, Burundi Blues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burundi Blues
Context triple: [Let Them Eat Bingo, hasTrack, Burundi Blues]
  • A. Burundi Blues chosen
    "Burundi Blues" is a 1990s dance track by British collective Beats International that blends electronic beats with world music influences.
  • B. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • C. Land Locked Blues
    "Land Locked Blues" is a melancholic indie folk song by Bright Eyes, noted for its vivid storytelling and political overtones.
  • D. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • E. I Dreamed of Africa
    I Dreamed of Africa is a 2000 biographical drama film, directed by Hugh Hudson and starring Kim Basinger, that chronicles Kuki Gallmann’s life and experiences in Kenya.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc887e881909607653df7fe71be completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ba4bec81909dfa87bcd2bfa7be completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.