Triple

T10711304
Position Surface form Disambiguated ID Type / Status
Subject Mónica Naranjo E252542 entity
Predicate familyName P18 FINISHED
Object Naranjo
Naranjo is the surname of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop style.
E880963 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: Naranjo | Statement: [Mónica Naranjo, familyName, Naranjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naranjo
Context triple: [Mónica Naranjo, familyName, Naranjo]
  • A. Naranjo
    Naranjo was a major ancient Maya city-state in present-day Guatemala, known for its powerful dynasty, extensive hieroglyphic inscriptions, and frequent warfare with neighboring polities.
  • B. El Limón
    El Limón is a small municipality in the state of Jalisco, Mexico, known for its rural character and agricultural activities.
  • C. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • D. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • E. Jalapa
    Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
  • 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: Naranjo
Triple: [Mónica Naranjo, familyName, Naranjo]
Generated description
Naranjo is the surname of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naranjo
Target entity description: Naranjo is the surname of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop style.
  • A. Naranjo
    Naranjo was a major ancient Maya city-state in present-day Guatemala, known for its powerful dynasty, extensive hieroglyphic inscriptions, and frequent warfare with neighboring polities.
  • B. El Limón
    El Limón is a small municipality in the state of Jalisco, Mexico, known for its rural character and agricultural activities.
  • C. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • D. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • E. Jalapa
    Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe523de08190a82c8f057fe8baf6 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d99917df2c819099be2a9b9c4a2ce7 completed April 11, 2026, 12:43 a.m.
NEDg Description generation batch_69d99e8632688190b3746649a124ca09 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadccd1d7081908ae53b97d2c2a6cb completed April 11, 2026, 11:44 p.m.
Created at: April 8, 2026, 9:13 p.m.