Triple

T8841108
Position Surface form Disambiguated ID Type / Status
Subject Vibras E210391 entity
Predicate featuresArtist P1952 FINISHED
Object Anitta E213116 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: Anitta | Statement: [Vibras, featuresArtist, Anitta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anitta
Context triple: [Vibras, featuresArtist, Anitta]
  • A. Anitta chosen
    Anitta is a Brazilian singer, songwriter, and performer known for her influential role in Latin pop and funk carioca and for high-profile international collaborations.
  • B. Pabllo Vittar
    Pabllo Vittar is a Brazilian drag queen, singer, and songwriter known for her energetic pop and funk music and for being a prominent LGBTQ+ icon in Latin America.
  • C. Karol G
    Karol G is a Colombian reggaeton and Latin trap singer-songwriter known for her chart-topping hits and major influence in contemporary Latin urban music.
  • D. Natti Natasha
    Natti Natasha is a Dominican reggaeton and Latin pop singer known for her hit collaborations and prominent presence in the urban Latin music scene.
  • E. Limal
    Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
  • 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_69cc6085fe24819095139f18da92d7e7 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf899c5b288190b854acebc9fe33d1 completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.