Triple
T5269759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniela Andrade |
E119227
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
|
E507566
|
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: Andrade | Statement: [Daniela Andrade, familyName, Andrade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrade Context triple: [Daniela Andrade, familyName, Andrade]
-
A.
Estrada
Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
-
B.
Adalberto
Adalberto is a masculine given name of Germanic origin, commonly used in Romance-language countries as a variant of Albert or Alberto.
-
C.
Gilberto
Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
-
D.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
E.
Machado
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
- 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: Andrade Triple: [Daniela Andrade, familyName, Andrade]
Generated description
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrade Target entity description: Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
A.
Estrada
Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
-
B.
Adalberto
Adalberto is a masculine given name of Germanic origin, commonly used in Romance-language countries as a variant of Albert or Alberto.
-
C.
Gilberto
Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
-
D.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
E.
Machado
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bff37cc819095423cf914086c1b |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe9542488190b715bc4bd800cb02 |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff3029dc8190b4dc5e207a2bfa03 |
completed | March 21, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befffc0e388190a02624d4f466a2a9 |
completed | March 21, 2026, 8:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.