Triple

T10693667
Position Surface form Disambiguated ID Type / Status
Subject B'Day Anthology Video Album E252074 entity
Predicate includesMusicVideoFor P64314 FINISHED
Object Suga Mama E245923 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: Suga Mama | Statement: [B'Day Anthology Video Album, includesMusicVideoFor, Suga Mama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suga Mama
Context triple: [B'Day Anthology Video Album, includesMusicVideoFor, Suga Mama]
  • A. Suga Mama chosen
    "Suga Mama" is an R&B/funk-influenced song by Beyoncé from her 2006 album B'Day, known for its brassy production and assertive lyrics about financial and romantic power.
  • B. Sweet Mama
    Sweet Mama is a recurring comedic segment featured in the television game show "Win, Lose or Draw."
  • C. Suga no Uta
    Suga no Uta is an ancient Japanese Shinto hymn traditionally attributed to the storm god Susanoo, celebrated as one of Japan’s earliest recorded poems.
  • D. Ma Ma
    Ma Ma is a 2015 Spanish drama film directed by Julio Medem and starring Penélope Cruz as a woman confronting a breast cancer diagnosis while rebuilding her life.
  • E. MAMA
    MAMA is the commonly used acronym for the MTV Africa Music Awards, an annual event celebrating contemporary African music and artists.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd38c24c8190a105a9dfdf705b38 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988b002f88190921af43e551ccb85 completed April 10, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:11 p.m.