Triple
T22034877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandel |
E544174
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Calentura
"Calentura" is a reggaeton track by Puerto Rican artist Yandel known for its energetic rhythm and dance-oriented style.
|
E1515994
|
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: Calentura | Statement: [Yandel, notableSong, Calentura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calentura Context triple: [Yandel, notableSong, Calentura]
-
A.
Fiebre
Fiebre is an Argentine erotic drama film starring Isabel Sarli, emblematic of the provocative sexploitation cinema that made her a cult icon in Latin American film.
-
B.
Feve
Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
-
C.
Febres
Febres is a civil parish in the municipality of Cantanhede, located in the Coimbra District of Portugal.
-
D.
The Fever
The Fever is a one-person political drama by Wallace Shawn that explores privilege, revolution, and moral responsibility through an intense, introspective monologue.
-
E.
The Fever Van
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
- 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: Calentura Triple: [Yandel, notableSong, Calentura]
Generated description
"Calentura" is a reggaeton track by Puerto Rican artist Yandel known for its energetic rhythm and dance-oriented style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calentura Target entity description: "Calentura" is a reggaeton track by Puerto Rican artist Yandel known for its energetic rhythm and dance-oriented style.
-
A.
Fiebre
Fiebre is an Argentine erotic drama film starring Isabel Sarli, emblematic of the provocative sexploitation cinema that made her a cult icon in Latin American film.
-
B.
Feve
Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
-
C.
Febres
Febres is a civil parish in the municipality of Cantanhede, located in the Coimbra District of Portugal.
-
D.
The Fever
The Fever is a one-person political drama by Wallace Shawn that explores privilege, revolution, and moral responsibility through an intense, introspective monologue.
-
E.
The Fever Van
The Fever Van is a painting by British artist L. S. Lowry that depicts an urban street scene centered on an ambulance-like "fever van," capturing the atmosphere of working-class life in industrial England.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f0594881909caf4fbc3e0a2d50 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b6b8bdc8190ad71f7fcddb497f1 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c2705e48190aebbc7b0b6221757 |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 16, 2026, 8:25 p.m.