Triple

T21935338
Position Surface form Disambiguated ID Type / Status
Subject Real Hasta la Muerte E541671 entity
Predicate hasProducer P30366 FINISHED
Object Tainy NE NERFINISHED

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: Tainy | Statement: [Real Hasta la Muerte, hasProducer, Tainy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tainy
Context triple: [Real Hasta la Muerte, hasProducer, Tainy]
  • A. Tainy chosen
    Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
  • B. Timaya
    Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
  • C. Lojay
    Lojay is a Nigerian singer and songwriter known for his Afro-fusion sound and hit collaborations in contemporary Afrobeats.
  • D. Nicolas Tyla
    Nicolas Tyla is the husband of Lithuanian conductor Mirga Gražinytė-Tyla, known primarily in relation to her prominent international conducting career.
  • E. Rayvanny
    Rayvanny is a Tanzanian Bongo Flava and Afro-pop singer and songwriter known for his hit singles and work under the WCB Wasafi record label.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124048fe48190987340d5a6945176 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:52 p.m.