Triple
T484903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Azevêdo |
E9853
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Azevêdo
Azevêdo is a Portuguese-language surname commonly found in Brazil and Portugal, associated with several notable public figures.
|
E60908
|
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: Azevêdo | Statement: [Roberto Azevêdo, familyName, Azevêdo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azevêdo Context triple: [Roberto Azevêdo, familyName, Azevêdo]
-
A.
José Alexandre
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
-
B.
Tadeu Marroco
Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
-
C.
Salgueiro Maia
Salgueiro Maia was a Portuguese army captain who became one of the central leaders of the 1974 military coup that peacefully overthrew the Estado Novo dictatorship.
-
D.
Miguel Jontel Pimentel
Miguel Jontel Pimentel is an American singer, songwriter, and record producer best known for his genre-blending R&B music and hits like "Adorn."
-
E.
Rafael Carmoega
Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
- 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: Azevêdo Triple: [Roberto Azevêdo, familyName, Azevêdo]
Generated description
Azevêdo is a Portuguese-language surname commonly found in Brazil and Portugal, associated with several notable public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azevêdo Target entity description: Azevêdo is a Portuguese-language surname commonly found in Brazil and Portugal, associated with several notable public figures.
-
A.
José Alexandre
José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
-
B.
Tadeu Marroco
Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
-
C.
Salgueiro Maia
Salgueiro Maia was a Portuguese army captain who became one of the central leaders of the 1974 military coup that peacefully overthrew the Estado Novo dictatorship.
-
D.
Miguel Jontel Pimentel
Miguel Jontel Pimentel is an American singer, songwriter, and record producer best known for his genre-blending R&B music and hits like "Adorn."
-
E.
Rafael Carmoega
Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bb46788190b40182bf2a54f98f |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474701340819096a5073155af9625 |
completed | March 1, 2026, 5:16 p.m. |
| NEDg | Description generation | batch_69a47506a06c8190b2f65b20e058b438 |
completed | March 1, 2026, 5:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a475acfb988190962aa7355d6b55ca |
completed | March 1, 2026, 5:21 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.