Triple

T28960510
Position Surface form Disambiguated ID Type / Status
Subject Se Quiere, Se Mata E731882 entity
Predicate hasMainCharactersInLyrics P56603 FINISHED
Object Tato and La Niña
Tato and La Niña are the tragic fictional couple at the center of Shakira’s song “Se Quiere, Se Mata,” whose story critiques social hypocrisy and the consequences of repression.
 E1841914 NE FINISHED

How this triple was built (3 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: Tato and La Niña | Statement: [Se Quiere, Se Mata, hasMainCharactersInLyrics, Tato and La Niña]
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: Tato and La Niña
Triple: [Se Quiere, Se Mata, hasMainCharactersInLyrics, Tato and La Niña]
Generated description
Tato and La Niña are the tragic fictional couple at the center of Shakira’s song “Se Quiere, Se Mata,” whose story critiques social hypocrisy and the consequences of repression.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMainCharactersInLyrics
Context triple: [Se Quiere, Se Mata, hasMainCharactersInLyrics, Tato and La Niña]
  • A. hasLyricCharacter chosen
    Indicates that a musical work or song includes a specific character or persona within its lyrics.
  • B. hasLyricsMentioning
    Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
  • C. hasLyricsIn
    Indicates that the lyrics of a work are written or available in a specified language.
  • D. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • E. hasLyricsTheme
    Indicates that the lyrics of a work primarily concern or revolve around a specified theme or subject.
  • F. None of above.

Provenance (6 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_69f043ee242c8190b063248b417c5a69 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fefa064ab48190925759950d0d94d9 completed May 9, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec539cf481909560f19869c39fa6 completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f13e27ec8190b80405a9f94f31b4 completed June 7, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a24f523ed7081909a45182f776bc149 completed June 7, 2026, 4:35 a.m.
PD Predicate disambiguation batch_69fef96ae5d08190b027435753c44821 completed May 9, 2026, 9:07 a.m.
Created at: April 28, 2026, 8:50 a.m.