Triple

T9347841
Position Surface form Disambiguated ID Type / Status
Subject Ozuna E224937 entity
Predicate notableSong P4 FINISHED
Object Si No Te Quiere E200805 NE FINISHED

How this triple was built (2 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: Si No Te Quiere | Statement: [Ozuna, notableSong, Si No Te Quiere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Si No Te Quiere
Context triple: [Ozuna, notableSong, Si No Te Quiere]
  • A. Si No Te Quiere chosen
    "Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
  • B. Si Te Vas
    "Si Te Vas" is a Spanish-language pop-rock song by Colombian singer-songwriter Shakira, featured on her acclaimed 1998 album "¿Dónde Están los Ladrones?"
  • C. 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.
  • D. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • E. Un Verano Sin Ti
    Un Verano Sin Ti is a critically acclaimed and commercially successful 2022 reggaeton and Latin pop album by Puerto Rican artist Bad Bunny that blends Caribbean sounds with themes of love, heartbreak, and summer nostalgia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f107f0081908938f4b814eca5fc completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e432106c81908ae080f37bc80f3f completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.