Triple
T14167268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Barreto |
E351111
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barreto
Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
|
E1083122
|
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: Barreto | Statement: [Bruno Barreto, familyName, Barreto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barreto Context triple: [Bruno Barreto, familyName, Barreto]
-
A.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
B.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
C.
Werdenberg
Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
-
D.
Estrada
Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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: Barreto Triple: [Bruno Barreto, familyName, Barreto]
Generated description
Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barreto Target entity description: Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
-
A.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
B.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
C.
Werdenberg
Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
-
D.
Estrada
Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
-
E.
Varela
Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f57ad88190aeb8ee0f834bfa20 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcfdcbd53c81909a347e26b30f9c0b |
completed | May 7, 2026, 9:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcfe9099508190bafd65d0d00129f0 |
completed | May 7, 2026, 9:05 p.m. |
Created at: April 10, 2026, 1 a.m.