Triple
T3040667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Negrín |
E83118
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Negrín
Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
|
E320318
|
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: Negrín | Statement: [Juan Negrín, familyName, Negrín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Negrín Context triple: [Juan Negrín, familyName, Negrín]
-
A.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
B.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
C.
Oliba Cabreta
Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
-
D.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
E.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
- 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: Negrín Triple: [Juan Negrín, familyName, Negrín]
Generated description
Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Negrín Target entity description: Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
-
A.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
B.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
C.
Oliba Cabreta
Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
-
D.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
E.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded01a1481908be7d44c2bf4e638 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df61bb208190b7714ff14ff81a99 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dfd8fc5481908f1e130226d606fb |
completed | March 11, 2026, 9:34 p.m. |
Created at: March 8, 2026, 3:01 p.m.