Triple
T2023449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Benjamín Menéndez |
E44155
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Menéndez
Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
|
E225948
|
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: Menéndez | Statement: [Mario Benjamín Menéndez, familyName, Menéndez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menéndez Context triple: [Mario Benjamín Menéndez, familyName, Menéndez]
-
A.
Bustamante
Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
-
B.
Ventura Rodríguez
Ventura Rodríguez was an 18th-century Spanish architect and urban planner renowned for his influential role in shaping Madrid’s neoclassical architecture.
-
C.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
-
D.
Miguel Frías
Miguel Frías is a Chilean engineer best known as the former husband of renowned writer Isabel Allende.
-
E.
Cruz Bustamante
Cruz Bustamante is an American Democratic politician who served as California’s first Latino lieutenant governor in over a century.
- 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: Menéndez Triple: [Mario Benjamín Menéndez, familyName, Menéndez]
Generated description
Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Menéndez Target entity description: Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
-
A.
Bustamante
Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
-
B.
Ventura Rodríguez
Ventura Rodríguez was an 18th-century Spanish architect and urban planner renowned for his influential role in shaping Madrid’s neoclassical architecture.
-
C.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
-
D.
Miguel Frías
Miguel Frías is a Chilean engineer best known as the former husband of renowned writer Isabel Allende.
-
E.
Cruz Bustamante
Cruz Bustamante is an American Democratic politician who served as California’s first Latino lieutenant governor in over a century.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f1728481909ae36e821b9edef2 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af7e5b0819088e2221ddc0a38ce |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b78f3fc81909010d88b454e9fa1 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c5983ac819082362a3b67dd9808 |
completed | March 8, 2026, 11:55 p.m. |
Created at: March 4, 2026, 7:38 p.m.