Triple
T22871846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrícia Galvão |
E567215
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Patrícia
Patrícia is a feminine given name of Latin origin, widely used in Portuguese- and Spanish-speaking countries.
|
E1557994
|
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: Patrícia | Statement: [Patrícia Galvão, hasGivenName, Patrícia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrícia Context triple: [Patrícia Galvão, hasGivenName, Patrícia]
-
A.
Márcia
Márcia is a feminine given name commonly used in Portuguese-speaking countries, derived from the Latin name Marcia.
-
B.
Cláudia
Cláudia is the given name of Brazilian singer and television personality Claudia Leitte, known for her work in axé and pop music.
-
C.
Lúcia dos Santos
Lúcia dos Santos was one of the three Portuguese shepherd children who reported the Marian apparitions at Fátima in 1917 and later became a Catholic nun and prominent religious figure.
-
D.
Fabiana
Fabiana is a feminine given name of Italian and Spanish origin, commonly used in various countries around the world.
-
E.
Maria Ribeiro
Maria Ribeiro is a Brazilian actress known for her work in film, television, and theater, including roles in acclaimed Brazilian crime dramas.
- 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: Patrícia Triple: [Patrícia Galvão, hasGivenName, Patrícia]
Generated description
Patrícia is a feminine given name of Latin origin, widely used in Portuguese- and Spanish-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrícia Target entity description: Patrícia is a feminine given name of Latin origin, widely used in Portuguese- and Spanish-speaking countries.
-
A.
Márcia
Márcia is a feminine given name commonly used in Portuguese-speaking countries, derived from the Latin name Marcia.
-
B.
Cláudia
Cláudia is the given name of Brazilian singer and television personality Claudia Leitte, known for her work in axé and pop music.
-
C.
Lúcia dos Santos
Lúcia dos Santos was one of the three Portuguese shepherd children who reported the Marian apparitions at Fátima in 1917 and later became a Catholic nun and prominent religious figure.
-
D.
Fabiana
Fabiana is a feminine given name of Italian and Spanish origin, commonly used in various countries around the world.
-
E.
Maria Ribeiro
Maria Ribeiro is a Brazilian actress known for her work in film, television, and theater, including roles in acclaimed Brazilian crime dramas.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae98804c8190bb1102516426a0ba |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0baef3b7ac8190a0f3df86c7751253 |
completed | May 19, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baf6c25d081908330d581e2fa49d4 |
completed | May 19, 2026, 12:31 a.m. |
Created at: April 17, 2026, 3:38 p.m.