Triple

T21724334
Position Surface form Disambiguated ID Type / Status
Subject Opus E536237 entity
Predicate hasTrack P3284 FINISHED
Object Lo Que Te Di
"Lo Que Te Di" is a song featured on the album *Opus* by Marc Anthony, showcasing his signature romantic salsa style.
 E1502392 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 Que Te Di | Statement: [Opus, hasTrack, Lo Que Te Di]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lo Que Te Di
Context triple: [Opus, hasTrack, Lo Que Te Di]
  • A. Te Quiero Dijiste
    "Te Quiero Dijiste" is a classic Spanish-language bolero song, famously performed by Mexican singer and actress María Grever, that appears on the soundtrack of the film "In the Mood for Love."
  • B. 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.
  • C. Que Me Quedes Tú
    "Que Me Quedes Tú" is a Spanish-language pop song by Colombian singer Shakira, released as a single from her breakthrough album "Laundry Service."
  • D. Mi Buen Amor
    "Mi Buen Amor" is a romantic Latin song featured on Gloria Estefan's acclaimed 1993 album "Mi Tierra."
  • E. 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.
  • 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 Que Te Di
Triple: [Opus, hasTrack, Lo Que Te Di]
Generated description
"Lo Que Te Di" is a song featured on the album *Opus* by Marc Anthony, showcasing his signature romantic salsa style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lo Que Te Di
Target entity description: "Lo Que Te Di" is a song featured on the album *Opus* by Marc Anthony, showcasing his signature romantic salsa style.
  • A. Te Quiero Dijiste
    "Te Quiero Dijiste" is a classic Spanish-language bolero song, famously performed by Mexican singer and actress María Grever, that appears on the soundtrack of the film "In the Mood for Love."
  • B. 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.
  • C. Que Me Quedes Tú
    "Que Me Quedes Tú" is a Spanish-language pop song by Colombian singer Shakira, released as a single from her breakthrough album "Laundry Service."
  • D. Mi Buen Amor
    "Mi Buen Amor" is a romantic Latin song featured on Gloria Estefan's acclaimed 1993 album "Mi Tierra."
  • E. 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.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd9722ce881909372fd0f1b15d242 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e63bd608190bd7eb342a3ef6ce7 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a401ceb748190a4718ea4bc7ece45 completed May 17, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0a40bc29fc8190b082a1f86b2c4907 completed May 17, 2026, 10:27 p.m.
Created at: April 16, 2026, 6:48 p.m.