Triple
T4324077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Miguel |
E96592
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gallego
Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
|
E431859
|
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: Gallego | Statement: [Luis Miguel, familyName, Gallego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gallego Context triple: [Luis Miguel, familyName, Gallego]
-
A.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
Carballo
Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
-
D.
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.
-
E.
Spínola
Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
- 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: Gallego Triple: [Luis Miguel, familyName, Gallego]
Generated description
Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gallego Target entity description: Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
-
A.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
Carballo
Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
-
D.
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.
-
E.
Spínola
Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35118abe481908b7987019be217e1 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d094f5fc819083eddc234f46f6a1 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d10a20248190b3214509cb637ff4 |
completed | March 14, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d4f08ac4819097e71276be11403d |
completed | March 14, 2026, 9:36 p.m. |
Created at: March 12, 2026, 11:13 p.m.