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.