Triple
T5038731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramírez |
E113492
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object |
Ramiro
Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
|
E487819
|
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: Ramiro | Statement: [Ramírez, derivedFromGivenName, Ramiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramiro Context triple: [Ramírez, derivedFromGivenName, Ramiro]
-
A.
Raimundo
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
-
B.
Romero y Galdámez
Romero y Galdámez is the compound surname of Óscar Romero, the Salvadoran archbishop and martyr renowned for his advocacy for social justice and human rights.
-
C.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
-
D.
José Altimira
José Altimira was a Spanish Franciscan missionary best known for establishing Mission San Francisco Solano in early 19th-century California.
-
E.
Ataulfo
Ataulfo is a small, golden-yellow, sweet and creamy Mexican mango variety prized for its smooth, fiberless flesh.
- 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: Ramiro Triple: [Ramírez, derivedFromGivenName, Ramiro]
Generated description
Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramiro Target entity description: Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
-
A.
Raimundo
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
-
B.
Romero y Galdámez
Romero y Galdámez is the compound surname of Óscar Romero, the Salvadoran archbishop and martyr renowned for his advocacy for social justice and human rights.
-
C.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
-
D.
José Altimira
José Altimira was a Spanish Franciscan missionary best known for establishing Mission San Francisco Solano in early 19th-century California.
-
E.
Ataulfo
Ataulfo is a small, golden-yellow, sweet and creamy Mexican mango variety prized for its smooth, fiberless flesh.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73dbf00c819094b67809dafdecc6 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c7c8ba881908240c7f338ad9784 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9d191ea481908ccbba1927fcbb43 |
completed | March 21, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9db965cc8190a482813f4bd1ad60 |
completed | March 21, 2026, 1:31 p.m. |
Created at: March 20, 2026, 1:37 p.m.