Triple

T20359192
Position Surface form Disambiguated ID Type / Status
Subject El secreto de Puente Viejo E496729 entity
Predicate developedBy P73 FINISHED
Object Boomerang TV 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: Boomerang TV | Statement: [El secreto de Puente Viejo, developedBy, Boomerang TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boomerang TV
Context triple: [El secreto de Puente Viejo, developedBy, Boomerang TV]
  • A. Boomerang TV chosen
    Boomerang TV is a Spanish television production company known for creating popular scripted series and telenovelas.
  • B. Bounce TV
    Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated programming.
  • C. Boomerang (TV series)
    Boomerang (TV series) is a 2019 American comedy-drama television series on BET that serves as a sequel to the 1992 film of the same name, following a new generation navigating careers, relationships, and identity.
  • D. Boomerang Bro
    Boomerang Bro is a recurring Koopa enemy in the Mario series known for attacking by throwing boomerangs in arcing patterns.
  • E. Boomerang
    Boomerang is a steel shuttle roller coaster known for its forward-and-backward looping layout, operating at the Worlds of Fun amusement park in Kansas City, Missouri.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678573fc481908bf257e6ed41d750 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.