Triple

T8426880
Position Surface form Disambiguated ID Type / Status
Subject Mas Que Nada (recording) E199024 entity
Predicate famousVersionOf P30580 FINISHED
Object Mas Que Nada (song) E733326 NE FINISHED

How this triple was built (3 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: Mas Que Nada (song) | Statement: [Mas Que Nada (recording), famousVersionOf, Mas Que Nada (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mas Que Nada (song)
Context triple: [Mas Que Nada (recording), famousVersionOf, Mas Que Nada (song)]
  • A. Mas Que Nada chosen
    "Mas Que Nada" is a globally popular Brazilian song, originally written and recorded by Jorge Ben and later famously popularized in a bossa nova/samba style by Sérgio Mendes & Brasil '66.
  • B. Mas Que Nada (recording)
    "Mas Que Nada" is a globally popular Brazilian bossa nova/samba recording by Sergio Mendes, best known in its 1966 Sergio Mendes & Brasil '66 version that helped introduce Brazilian music to international audiences.
  • C. Que Me Quedes Tú
    "Que Me Quedes Tú" is a Spanish-language pop song by Colombian singer Shakira, released as a single from her breakthrough album "Laundry Service."
  • D. Besame Mucho
    "Bésame Mucho" is a classic bolero-style love song, originally written in Spanish and widely covered across genres, including a notable rendition by The Coasters.
  • E. Cielito Avanceña
    Cielito Avanceña is a Filipino businesswoman and media professional best known as the long-time partner of former Philippine president Rodrigo Duterte.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: famousVersionOf
Context triple: [Mas Que Nada (recording), famousVersionOf, Mas Que Nada (song)]
  • A. famousVariant chosen
    Indicates that one entity is a well-known or widely recognized version or form of another entity.
  • B. famousStandardBy
    Indicates that something is widely recognized or established as a standard due to the influence, endorsement, or association of a particular famous entity.
  • C. fameFor
    Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
  • D. isVersionOf
    Indicates that one entity is a particular version, edition, or variant derived from another entity.
  • E. mostFamouslyRecordedBy
    Indicates that an item (such as a work, song, or performance) is best known or most widely associated with having been recorded by a particular entity.
  • F. None of above.

Provenance (4 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399384ec81908d3ace592d1e3aea completed April 2, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69cbd0ec200c8190b0299e2b0b4bdcc2 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:07 p.m.