Triple

T8841261
Position Surface form Disambiguated ID Type / Status
Subject Rosalía E210394 entity
Predicate album P1995 FINISHED
Object Motomami E761153 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: Motomami | Statement: [Rosalía, album, Motomami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motomami
Context triple: [Rosalía, album, Motomami]
  • A. Motomami chosen
    Motomami is a critically acclaimed 2022 studio album by Spanish singer Rosalía that blends experimental pop, reggaeton, and flamenco influences.
  • B. Sevdaliza
    Sevdaliza is an Iranian-Dutch singer, songwriter, and producer known for her experimental blend of electronic, trip-hop, and avant-pop music paired with highly conceptual visual art.
  • C. MAMA
    MAMA is the commonly used acronym for the MTV Africa Music Awards, an annual event celebrating contemporary African music and artists.
  • D. MAMA
    MAMA (Murray Art Museum Albury) is a contemporary art museum and cultural venue located in Albury, New South Wales, Australia.
  • E. Yoeme
    Yoeme is the self-designation used by the Yaqui people, an Indigenous group primarily from the Sonoran Desert region of Mexico and the southwestern United States.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60876c6c8190b1b490e447e1cf4b completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0721430819091abe8c13a745725 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:48 p.m.