Triple

T21811980
Position Surface form Disambiguated ID Type / Status
Subject Porque te vas E538496 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Vainica Doble
Vainica Doble was a pioneering Spanish female duo known for their eclectic, poetic, and experimental approach to pop music in the 1970s and 1980s.
E1501703 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: Vainica Doble | Statement: [Porque te vas, hasCoverVersionBy, Vainica Doble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vainica Doble
Context triple: [Porque te vas, hasCoverVersionBy, Vainica Doble]
  • A. Marliece Andrada
    Marliece Andrada is an American model and actress best known for her role as a lifeguard on the television series Baywatch and its related productions.
  • B. Valarie
    Valarie is a feminine given name, typically considered a spelling variant of Valerie.
  • C. Vanessa Marquez
    Vanessa Marquez is an American R&B singer best known for her early-2000s work with Pharrell Williams and The Neptunes, including her feature on N.E.R.D’s hit single “Frontin’.”
  • D. Jesseca Dupart
    Jesseca Dupart is an American entrepreneur and beauty industry executive best known as the founder and CEO of Kaleidoscope Hair Products.
  • E. Chelsea Tavares
    Chelsea Tavares is an American actress best known for her prominent role on the television drama series "All American."
  • 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: Vainica Doble
Triple: [Porque te vas, hasCoverVersionBy, Vainica Doble]
Generated description
Vainica Doble was a pioneering Spanish female duo known for their eclectic, poetic, and experimental approach to pop music in the 1970s and 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vainica Doble
Target entity description: Vainica Doble was a pioneering Spanish female duo known for their eclectic, poetic, and experimental approach to pop music in the 1970s and 1980s.
  • A. Marliece Andrada
    Marliece Andrada is an American model and actress best known for her role as a lifeguard on the television series Baywatch and its related productions.
  • B. Valarie
    Valarie is a feminine given name, typically considered a spelling variant of Valerie.
  • C. Vanessa Marquez
    Vanessa Marquez is an American R&B singer best known for her early-2000s work with Pharrell Williams and The Neptunes, including her feature on N.E.R.D’s hit single “Frontin’.”
  • D. Jesseca Dupart
    Jesseca Dupart is an American entrepreneur and beauty industry executive best known as the founder and CEO of Kaleidoscope Hair Products.
  • E. Chelsea Tavares
    Chelsea Tavares is an American actress best known for her prominent role on the television drama series "All American."
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e8ab4e0819088cba8246a57f512 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f21b83c81908353647d34b2d280 completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3fcce3a48190ac13842ad0a9dfba completed May 17, 2026, 10:23 p.m.
Created at: April 16, 2026, 6:53 p.m.