Triple
T14805668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign Land |
E348027
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Laura Cardoso
Laura Cardoso is a renowned Brazilian actress celebrated for her extensive work in television, film, and theater over several decades.
|
E1121315
|
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: Laura Cardoso | Statement: [Foreign Land, castMember, Laura Cardoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Cardoso Context triple: [Foreign Land, castMember, Laura Cardoso]
-
A.
Patricia Cardoso
Patricia Cardoso is a Colombian-American film director best known for her groundbreaking independent film "Real Women Have Curves," which brought Latina stories and body-positivity themes to mainstream cinema.
-
B.
Yolanda Penteado
Yolanda Penteado was a prominent Brazilian arts patron and cultural organizer who played a key role in the development of modern art in São Paulo.
-
C.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
D.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
E.
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
- 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: Laura Cardoso Triple: [Foreign Land, castMember, Laura Cardoso]
Generated description
Laura Cardoso is a renowned Brazilian actress celebrated for her extensive work in television, film, and theater over several decades.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Cardoso Target entity description: Laura Cardoso is a renowned Brazilian actress celebrated for her extensive work in television, film, and theater over several decades.
-
A.
Patricia Cardoso
Patricia Cardoso is a Colombian-American film director best known for her groundbreaking independent film "Real Women Have Curves," which brought Latina stories and body-positivity themes to mainstream cinema.
-
B.
Yolanda Penteado
Yolanda Penteado was a prominent Brazilian arts patron and cultural organizer who played a key role in the development of modern art in São Paulo.
-
C.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
D.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
E.
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe2d9c08d0819094d3affc082f4f8a |
completed | May 8, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2e0b3514819097f2d9d63cb6a143 |
completed | May 8, 2026, 6:40 p.m. |
Created at: April 10, 2026, 1:34 a.m.