Triple

T5218205
Position Surface form Disambiguated ID Type / Status
Subject Silvia Navarro E117804 entity
Predicate notableWork P4 FINISHED
Object Cuando me enamoro
"Cuando me enamoro" is a Mexican telenovela best known for its romantic drama storyline and the starring performance of actress Silvia Navarro.
E502797 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: Cuando me enamoro | Statement: [Silvia Navarro, notableWork, Cuando me enamoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuando me enamoro
Context triple: [Silvia Navarro, notableWork, Cuando me enamoro]
  • A. Mis Romances
    Mis Romances is a studio album by Mexican singer Luis Miguel that continues his series of romantic bolero recordings.
  • B. My Romance
    "My Romance" is a popular American show tune composed by Richard Rodgers with lyrics by Lorenz Hart, widely regarded as a jazz and pop standard.
  • C. 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.
  • D. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • E. Why I Love You
    "Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
  • 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: Cuando me enamoro
Triple: [Silvia Navarro, notableWork, Cuando me enamoro]
Generated description
"Cuando me enamoro" is a Mexican telenovela best known for its romantic drama storyline and the starring performance of actress Silvia Navarro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cuando me enamoro
Target entity description: "Cuando me enamoro" is a Mexican telenovela best known for its romantic drama storyline and the starring performance of actress Silvia Navarro.
  • A. Mis Romances
    Mis Romances is a studio album by Mexican singer Luis Miguel that continues his series of romantic bolero recordings.
  • B. My Romance
    "My Romance" is a popular American show tune composed by Richard Rodgers with lyrics by Lorenz Hart, widely regarded as a jazz and pop standard.
  • C. 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.
  • D. Te Amo
    "Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
  • E. Why I Love You
    "Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0bfd76c8190ab48fed23b21c70b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef168c2088190bba7fce5219b0d1f completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.