Triple
T19174318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Brazil |
E469400
|
entity |
| Predicate | designers |
P184
|
FINISHED |
| Object |
Miguel Lemos
Miguel Lemos is a Brazilian designer credited with helping create the modern national flag of Brazil.
|
E1454939
|
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: Miguel Lemos | Statement: [flag of Brazil, designers, Miguel Lemos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Lemos Context triple: [flag of Brazil, designers, Miguel Lemos]
-
A.
Miguel Lemos
Miguel Lemos was a Brazilian philosopher and leading positivist who co-founded and led the Brazilian Positivist Church, promoting Auguste Comte’s ideas in Brazil.
-
B.
Carlos Lemos
Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
-
C.
Miguel Ponte
Miguel Ponte was a Spanish military officer best known for his leadership role on the Nationalist side during the Spanish Civil War, including commanding forces at the Battle of Belchite.
-
D.
Luis Rosado
Luis Rosado is a dancer and actor best known for his role in the street-dance film "Step Up 3D."
-
E.
Francisco Leal
Francisco Leal is a young idealistic Chilean journalist who becomes involved in political resistance and a passionate romance in Isabel Allende’s novel "Of Love and Shadows."
- 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: Miguel Lemos Triple: [flag of Brazil, designers, Miguel Lemos]
Generated description
Miguel Lemos is a Brazilian designer credited with helping create the modern national flag of Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miguel Lemos Target entity description: Miguel Lemos is a Brazilian designer credited with helping create the modern national flag of Brazil.
-
A.
Miguel Lemos
Miguel Lemos was a Brazilian philosopher and leading positivist who co-founded and led the Brazilian Positivist Church, promoting Auguste Comte’s ideas in Brazil.
-
B.
Carlos Lemos
Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
-
C.
Miguel Ponte
Miguel Ponte was a Spanish military officer best known for his leadership role on the Nationalist side during the Spanish Civil War, including commanding forces at the Battle of Belchite.
-
D.
Luis Rosado
Luis Rosado is a dancer and actor best known for his role in the street-dance film "Step Up 3D."
-
E.
Francisco Leal
Francisco Leal is a young idealistic Chilean journalist who becomes involved in political resistance and a passionate romance in Isabel Allende’s novel "Of Love and Shadows."
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16613dc8190987c2d79dc616e40 |
completed | April 20, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091380428c8190b0535d3100e3c9a6 |
completed | May 17, 2026, 1:01 a.m. |
| NEDg | Description generation | batch_6a0914358a088190848fd658fa884cf1 |
completed | May 17, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914daf1188190bd8287ef06156c6f |
completed | May 17, 2026, 1:07 a.m. |
Created at: April 10, 2026, 12:06 p.m.