Triple

T21935352
Position Surface form Disambiguated ID Type / Status
Subject Real Hasta la Muerte E541671 entity
Predicate hasTrack P3284 FINISHED
Object Quiere Beber 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: Quiere Beber | Statement: [Real Hasta la Muerte, hasTrack, Quiere Beber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quiere Beber
Context triple: [Real Hasta la Muerte, hasTrack, Quiere Beber]
  • A. Voy a Beber
    "Voy a Beber" is a popular reggaeton song by Nicky Jam known for its catchy melody and party-themed lyrics.
  • B. Ella Quiere Beber chosen
    "Ella Quiere Beber" is a popular reggaeton/Latin trap song by Puerto Rican artist Anuel AA that became widely known for its catchy chorus and remix featuring Karol G.
  • C. Agua de Beber
    "Agua de Beber" is a classic bossa nova song by Antônio Carlos Jobim and Vinícius de Moraes, known for its smooth melody and poetic lyrics about the metaphorical "water of life."
  • D. Drink on It
    "Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
  • E. Be Drunk
    "Be Drunk" is a prose poem by Charles Baudelaire urging readers to stay metaphorically intoxicated—on wine, poetry, or virtue—in order to escape the burdens of time and existence.
  • 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.