Triple
T14297493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Barros |
E354478
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barros
Barros is a Portuguese-origin surname borne by various notable individuals, including athletes, politicians, and artists.
|
E1091821
|
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: Barros | Statement: [Dana Barros, familyName, Barros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barros Context triple: [Dana Barros, familyName, Barros]
-
A.
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.
-
B.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
C.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
D.
O’Donojú
O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
-
E.
Rocha
Rocha is a Portuguese-origin surname common in Lusophone countries and among their diasporas.
- 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: Barros Triple: [Dana Barros, familyName, Barros]
Generated description
Barros is a Portuguese-origin surname borne by various notable individuals, including athletes, politicians, and artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barros Target entity description: Barros is a Portuguese-origin surname borne by various notable individuals, including athletes, politicians, and artists.
-
A.
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.
-
B.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
C.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
D.
O’Donojú
O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
-
E.
Rocha
Rocha is a Portuguese-origin surname common in Lusophone countries and among their diasporas.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717cfc948190ace5f1c91283b1c3 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d246ccc81909e9fe8b4487dcc88 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3eabe838819099664221953ba756 |
completed | May 8, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f29b2148190931d415d6d5550a6 |
completed | May 8, 2026, 1:40 a.m. |
Created at: April 10, 2026, 1:11 a.m.