Triple
T21935359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Amanece
"Amanece" is a Spanish-language urban/Latin trap song associated with the Real Hasta la Muerte music collective led by Puerto Rican rapper Anuel AA.
|
E1509310
|
NE FINISHED |
How this triple was built (4 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: Amanece | Statement: [Real Hasta la Muerte, hasTrack, Amanece]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanece Context triple: [Real Hasta la Muerte, hasTrack, Amanece]
-
A.
Madrugada
Madrugada is a Norwegian rock band known for its dark, atmospheric sound and influential role in the Scandinavian alternative rock scene.
-
B.
De la noche a la mañana
De la noche a la mañana is a notable work by Uruguayan writer and journalist Pablo Vierci, recognized within his literary output.
-
C.
Alborada
Alborada is the lively, Spanish-inspired opening movement of Nikolai Rimsky-Korsakov’s orchestral suite Capriccio Espagnol.
-
D.
É p’ra Amanhã
É p’ra Amanhã is a popular song by Portuguese singer-songwriter António Variações, known for its energetic blend of pop and traditional influences.
-
E.
Hasta el Amanecer
"Hasta el Amanecer" is a hit reggaeton single by Nicky Jam known for its romantic lyrics and widespread success across Latin music charts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amanece Triple: [Real Hasta la Muerte, hasTrack, Amanece]
Generated description
"Amanece" is a Spanish-language urban/Latin trap song associated with the Real Hasta la Muerte music collective led by Puerto Rican rapper Anuel AA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanece Target entity description: "Amanece" is a Spanish-language urban/Latin trap song associated with the Real Hasta la Muerte music collective led by Puerto Rican rapper Anuel AA.
-
A.
Madrugada
Madrugada is a Norwegian rock band known for its dark, atmospheric sound and influential role in the Scandinavian alternative rock scene.
-
B.
De la noche a la mañana
De la noche a la mañana is a notable work by Uruguayan writer and journalist Pablo Vierci, recognized within his literary output.
-
C.
Alborada
Alborada is the lively, Spanish-inspired opening movement of Nikolai Rimsky-Korsakov’s orchestral suite Capriccio Espagnol.
-
D.
É p’ra Amanhã
É p’ra Amanhã is a popular song by Portuguese singer-songwriter António Variações, known for its energetic blend of pop and traditional influences.
-
E.
Hasta el Amanecer
"Hasta el Amanecer" is a hit reggaeton single by Nicky Jam known for its romantic lyrics and widespread success across Latin music charts.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60e8668c8190822cb376e2633213 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a619fa5048190a78af846d4576c46 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a62097c2c8190a223c257b4bbc28e |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:52 p.m.