Triple

T2258072
Position Surface form Disambiguated ID Type / Status
Subject War & Leisure E49772 entity
Predicate nextWork P9710 FINISHED
Object Te Lo Dije
Te Lo Dije is a music release by American singer-songwriter Miguel, following his album War & Leisure.
 E249537 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: Te Lo Dije | Statement: [War & Leisure, nextWork, Te Lo Dije]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Te Lo Dije
Context triple: [War & Leisure, nextWork, Te Lo Dije]
  • A. El Jaleo
    El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
  • B. Si No Te Quiere
    "Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
  • C. Qué Pretendes
    "Qué Pretendes" is a reggaeton track by Colombian artist J Balvin, known for its catchy rhythm and its role in solidifying his global Latin urban music presence.
  • D. Dile Que Tú Me Quieres
    "Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
  • E. Loca
    "Loca" is a 2010 Latin pop and dance track by Colombian singer Shakira, known for its catchy rhythm and bilingual versions that achieved international chart success.
  • 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: Te Lo Dije
Triple: [War & Leisure, nextWork, Te Lo Dije]
Generated description
Te Lo Dije is a music release by American singer-songwriter Miguel, following his album War & Leisure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Te Lo Dije
Target entity description: Te Lo Dije is a music release by American singer-songwriter Miguel, following his album War & Leisure.
  • A. El Jaleo
    El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
  • B. Si No Te Quiere
    "Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
  • C. Qué Pretendes
    "Qué Pretendes" is a reggaeton track by Colombian artist J Balvin, known for its catchy rhythm and its role in solidifying his global Latin urban music presence.
  • D. Dile Que Tú Me Quieres
    "Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
  • E. Loca
    "Loca" is a 2010 Latin pop and dance track by Colombian singer Shakira, known for its catchy rhythm and bilingual versions that achieved international chart success.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15839fc8190b17e040c4c765a8c completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c69f088190a38254a8a3670124 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72353e7c8190bb0ba06362734d81 completed March 9, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae72a694a8819080ec462c0a9c38ac completed March 9, 2026, 7:11 a.m.
Created at: March 4, 2026, 7:48 p.m.