Triple
T838797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navarro |
E18129
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
María Navarro
María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
|
E113387
|
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: María Navarro | Statement: [Navarro, hasNotableBearer, María Navarro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Navarro Context triple: [Navarro, hasNotableBearer, María Navarro]
-
A.
María Cortés
María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
-
B.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
-
C.
Claudia Castello
Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
-
D.
Lina Ruz González
Lina Ruz González was a Cuban woman best known as the mother of revolutionary leaders Fidel and Raúl Castro.
-
E.
Lymari Nadal
Lymari Nadal is a Puerto Rican actress and producer best known for her role in the crime film "American Gangster."
- 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: María Navarro Triple: [Navarro, hasNotableBearer, María Navarro]
Generated description
María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: María Navarro Target entity description: María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
-
A.
María Cortés
María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
-
B.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
-
C.
Claudia Castello
Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
-
D.
Lina Ruz González
Lina Ruz González was a Cuban woman best known as the mother of revolutionary leaders Fidel and Raúl Castro.
-
E.
Lymari Nadal
Lymari Nadal is a Puerto Rican actress and producer best known for her role in the crime film "American Gangster."
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abd0e8bc8190afe29cd4745c2f86 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11907a988190945e5e5ec8a26ccf |
completed | March 7, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69ac12f09744819084a8486e157db474 |
completed | March 7, 2026, 11:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1342004881908b9da2192e1aad3f |
completed | March 7, 2026, noon |
Created at: March 1, 2026, 7:38 p.m.