Triple

T14268114
Position Surface form Disambiguated ID Type / Status
Subject Angie Cepeda E353703 entity
Predicate notableWork P4 FINISHED
Object Luz María
Luz María is a popular 1990s Colombian telenovela, best known for starring Angie Cepeda in a leading role.
E1098518 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: Luz María | Statement: [Angie Cepeda, notableWork, Luz María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luz María
Context triple: [Angie Cepeda, notableWork, Luz María]
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. María del Carmen
    María del Carmen is a Spanish-language feminine given name commonly used in Hispanic cultures, often in honor of Our Lady of Mount Carmel.
  • D. Luisa Cortés
    Luisa Cortés is a figure known primarily for her association with Julio Zapata, about whom limited public biographical information is available.
  • E. Maria Alejandra
    Maria Alejandra is known as the wife of Tico Torres, the drummer of the rock band Bon Jovi.
  • 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: Luz María
Triple: [Angie Cepeda, notableWork, Luz María]
Generated description
Luz María is a popular 1990s Colombian telenovela, best known for starring Angie Cepeda in a leading role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luz María
Target entity description: Luz María is a popular 1990s Colombian telenovela, best known for starring Angie Cepeda in a leading role.
  • A. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • B. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • C. María del Carmen
    María del Carmen is a Spanish-language feminine given name commonly used in Hispanic cultures, often in honor of Our Lady of Mount Carmel.
  • D. Luisa Cortés
    Luisa Cortés is a figure known primarily for her association with Julio Zapata, about whom limited public biographical information is available.
  • E. Maria Alejandra
    Maria Alejandra is known as the wife of Tico Torres, the drummer of the rock band Bon Jovi.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb7e0ac81909d62993689b56f83 completed May 8, 2026, 3:42 a.m.
NEDg Description generation batch_69fd5cc62c248190bb280bc095ba6153 completed May 8, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69fd5d5bdfa48190a93cce877854bc0e completed May 8, 2026, 3:49 a.m.
Created at: April 10, 2026, 1:10 a.m.