Triple
T12021510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museu de Arte Moderna de São Paulo |
E286159
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
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.
|
E982670
|
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: Yolanda Penteado | Statement: [Museu de Arte Moderna de São Paulo, founder, Yolanda Penteado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolanda Penteado Context triple: [Museu de Arte Moderna de São Paulo, founder, Yolanda Penteado]
-
A.
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
-
B.
Yolanda Ramos
Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
-
C.
Ana Lucia Cortez
Ana Lucia Cortez is a tough, emotionally scarred former LAPD police officer who becomes a conflicted and polarizing survivor on the TV series "Lost."
-
D.
Mery Andrade
Mery Andrade is a former professional basketball player from Portugal who starred at Old Dominion University before playing in the WNBA and later becoming a coach.
-
E.
Paz Ferreira
Paz Ferreira is the wife of retired Uruguayan football star Diego Forlán.
- 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: Yolanda Penteado Triple: [Museu de Arte Moderna de São Paulo, founder, Yolanda Penteado]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yolanda Penteado Target entity description: 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.
-
A.
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
-
B.
Yolanda Ramos
Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
-
C.
Ana Lucia Cortez
Ana Lucia Cortez is a tough, emotionally scarred former LAPD police officer who becomes a conflicted and polarizing survivor on the TV series "Lost."
-
D.
Mery Andrade
Mery Andrade is a former professional basketball player from Portugal who starred at Old Dominion University before playing in the WNBA and later becoming a coach.
-
E.
Paz Ferreira
Paz Ferreira is the wife of retired Uruguayan football star Diego Forlán.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ed15408190afc21afd57d6a737 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6345319808190a68195e215c2bd80 |
completed | May 2, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:47 p.m.