Triple

T14264608
Position Surface form Disambiguated ID Type / Status
Subject Canal 13 E353611 entity
Predicate notableProgram P4 FINISHED
Object Viva el Lunes E253262 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: Viva el Lunes | Statement: [Canal 13, notableProgram, Viva el Lunes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva el Lunes
Context triple: [Canal 13, notableProgram, Viva el Lunes]
  • A. Vaya Con Dios
    "Vaya Con Dios" is a popular 1953 pop and country ballad, best known for Mary Ford’s hit recording with guitarist Les Paul.
  • B. La Vida Es Un Carnaval
    La Vida Es Un Carnaval is a famous salsa song by Celia Cruz that celebrates resilience and joy in the face of life's hardships.
  • C. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • D. Viva chosen
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • E. Vivir
    "Vivir" is a popular Latin pop ballad by Spanish singer Ricky Martin, known for its emotive lyrics and powerful vocal performance.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.