Triple

T20493255
Position Surface form Disambiguated ID Type / Status
Subject Caer en tentación E502801 entity
Predicate originalNetwork P2594 FINISHED
Object Las Estrellas 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: Las Estrellas | Statement: [Caer en tentación, originalNetwork, Las Estrellas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Estrellas
Context triple: [Caer en tentación, originalNetwork, Las Estrellas]
  • A. Las Estrellas chosen
    Las Estrellas is a major Mexican broadcast television network known for its popular telenovelas and entertainment programming.
  • B. La Estrella
    La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
  • C. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • D. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • E. Ay yıldız
    Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.