Triple

T9236699
Position Surface form Disambiguated ID Type / Status
Subject Hasten Down the Wind E221954 entity
Predicate hasTrack P3284 FINISHED
Object Lo Siento Mi Vida
"Lo Siento Mi Vida" is a Spanish-language ballad recorded by Linda Ronstadt, featured on her 1976 album *Hasten Down the Wind*.
 E787414 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: Lo Siento Mi Vida | Statement: [Hasten Down the Wind, hasTrack, Lo Siento Mi Vida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lo Siento Mi Vida
Context triple: [Hasten Down the Wind, hasTrack, Lo Siento Mi Vida]
  • A. Te Acordarás de Mí
    "Te Acordarás de Mí" is a pop song by Mexican singer and actress Eiza González, known as one of the key singles from her music career.
  • B. Mi Soledad y Yo
    "Mi Soledad y Yo" is a popular romantic ballad by Spanish singer-songwriter Alejandro Sanz, known for its emotive lyrics about loneliness and heartbreak.
  • C. Solo mía
    "Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
  • D. Me Curaré
    "Me Curaré" is a song by Spanish singer-songwriter Leiva from his acclaimed solo album "Odisea."
  • E. Sueña conmigo
    Sueña conmigo is a Latin American musical telenovela aimed at teens, known for combining romance, music, and dance in a story about aspiring young performers.
  • 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: Lo Siento Mi Vida
Triple: [Hasten Down the Wind, hasTrack, Lo Siento Mi Vida]
Generated description
"Lo Siento Mi Vida" is a Spanish-language ballad recorded by Linda Ronstadt, featured on her 1976 album *Hasten Down the Wind*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lo Siento Mi Vida
Target entity description: "Lo Siento Mi Vida" is a Spanish-language ballad recorded by Linda Ronstadt, featured on her 1976 album *Hasten Down the Wind*.
  • A. Te Acordarás de Mí
    "Te Acordarás de Mí" is a pop song by Mexican singer and actress Eiza González, known as one of the key singles from her music career.
  • B. Mi Soledad y Yo
    "Mi Soledad y Yo" is a popular romantic ballad by Spanish singer-songwriter Alejandro Sanz, known for its emotive lyrics about loneliness and heartbreak.
  • C. Solo mía
    "Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
  • D. Me Curaré
    "Me Curaré" is a song by Spanish singer-songwriter Leiva from his acclaimed solo album "Odisea."
  • E. Sueña conmigo
    Sueña conmigo is a Latin American musical telenovela aimed at teens, known for combining romance, music, and dance in a story about aspiring young performers.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077cc774c8190bdbdd4071c11f096 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07c0344a081908e33e9fc844204d9 completed April 4, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69d07c5a82d88190a6b767a66ffd51ed completed April 4, 2026, 2:50 a.m.
Created at: March 30, 2026, 7:29 p.m.