Triple
T20289160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vieira da Silva |
E509971
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Maria Helena
Maria Helena is the given name of the renowned Portuguese-born abstract painter Maria Helena Vieira da Silva, celebrated for her complex, labyrinthine compositions.
|
E1424072
|
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: Maria Helena | Statement: [Vieira da Silva, givenName, Maria Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Helena Context triple: [Vieira da Silva, givenName, Maria Helena]
-
A.
Maria do Amparo
Maria do Amparo is the mother of Portuguese actress and singer Lúcia Moniz.
-
B.
Ana Maria
Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
-
C.
Ana Maria
Ana Maria is a notable racehorse associated with the legendary American Thoroughbred champion Native Dancer.
-
D.
Maria do Carmo
Maria do Carmo was the birth name of Carmen Miranda, the iconic Portuguese-born Brazilian singer, dancer, and film star famed for her vibrant performances and fruit-laden hats.
-
E.
María dos Prazeres
María dos Prazeres is a short story by Gabriel García Márquez that follows an aging prostitute in Barcelona who meticulously prepares for her own death after dreaming of it.
- 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: Maria Helena Triple: [Vieira da Silva, givenName, Maria Helena]
Generated description
Maria Helena is the given name of the renowned Portuguese-born abstract painter Maria Helena Vieira da Silva, celebrated for her complex, labyrinthine compositions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Helena Target entity description: Maria Helena is the given name of the renowned Portuguese-born abstract painter Maria Helena Vieira da Silva, celebrated for her complex, labyrinthine compositions.
-
A.
Maria do Amparo
Maria do Amparo is the mother of Portuguese actress and singer Lúcia Moniz.
-
B.
Ana Maria
Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
-
C.
Ana Maria
Ana Maria is a notable racehorse associated with the legendary American Thoroughbred champion Native Dancer.
-
D.
Maria do Carmo
Maria do Carmo was the birth name of Carmen Miranda, the iconic Portuguese-born Brazilian singer, dancer, and film star famed for her vibrant performances and fruit-laden hats.
-
E.
María dos Prazeres
María dos Prazeres is a short story by Gabriel García Márquez that follows an aging prostitute in Barcelona who meticulously prepares for her own death after dreaming of it.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67694d50881909d59c1037295c1d0 |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08611398e08190a13590d512619c6d |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0864fdd72881908e02358584454be0 |
completed | May 16, 2026, 12:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08659cadc08190a73b4dc7e1d28e87 |
completed | May 16, 2026, 12:39 p.m. |
Created at: April 16, 2026, 11:10 a.m.