Triple

T20015042
Position Surface form Disambiguated ID Type / Status
Subject Vivo per lei E494694 entity
Predicate hasVersion P455 FINISHED
Object Vivo por ella NE NERFINISHED

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: Vivo por ella | Statement: [Vivo per lei, hasVersion, Vivo por ella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivo por ella
Context triple: [Vivo per lei, hasVersion, Vivo por ella]
  • A. Vivo per lei chosen
    "Vivo per lei" is a popular Italian song, famously performed as a duet by Andrea Bocelli, that expresses a deep, romantic devotion to music personified as a beloved.
  • B. El Amor de Mi Vida
    "El Amor de Mi Vida" is a song featured on the 1986 album "The Wind" by Mexican singer-songwriter Juan Gabriel.
  • C. Te amaré
    "Te amaré" is a popular romantic ballad by Spanish singer Miguel Bosé, known for its emotive lyrics and enduring presence in Latin pop music.
  • D. Sin ella
    "Sin ella" is a Mexican film featuring actress Paola Núñez in a prominent role.
  • E. Enamorada
    Enamorada is a classic 1946 Mexican romantic drama film directed by Emilio Fernández, celebrated for its expressive cinematography and performances by María Félix and Pedro Armendáriz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.