Triple
T15832711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Temer |
E383909
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object |
Jair Bolsonaro
Jair Bolsonaro is a far-right Brazilian politician and former army captain who served as the 38th President of Brazil from 2019 to 2022.
|
E1182147
|
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: Jair Bolsonaro | Statement: [Michel Temer, succeededBy, Jair Bolsonaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jair Bolsonaro Context triple: [Michel Temer, succeededBy, Jair Bolsonaro]
-
A.
Michel Temer
Michel Temer is a Brazilian lawyer and politician who served as the 37th President of Brazil from 2016 to 2018 following the impeachment of Dilma Rousseff.
-
B.
Lula
Lula is a feminine given name, often used in English-speaking countries and sometimes as a diminutive of names like Louise or Tallulah.
-
C.
Pedro Rousseff
Pedro Rousseff is the son of former Brazilian president Dilma Rousseff.
-
D.
Jair
Jair is a minor biblical judge of Israel mentioned in the Book of Judges, known for his leadership and his thirty sons who rode thirty donkeys and controlled thirty towns.
-
E.
Luiz Inácio
Luiz Inácio is the given first name of Luiz Inácio Lula da Silva, the Brazilian politician and former president widely known simply as Lula.
- 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: Jair Bolsonaro Triple: [Michel Temer, succeededBy, Jair Bolsonaro]
Generated description
Jair Bolsonaro is a far-right Brazilian politician and former army captain who served as the 38th President of Brazil from 2019 to 2022.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jair Bolsonaro Target entity description: Jair Bolsonaro is a far-right Brazilian politician and former army captain who served as the 38th President of Brazil from 2019 to 2022.
-
A.
Michel Temer
Michel Temer is a Brazilian lawyer and politician who served as the 37th President of Brazil from 2016 to 2018 following the impeachment of Dilma Rousseff.
-
B.
Lula
Lula is a feminine given name, often used in English-speaking countries and sometimes as a diminutive of names like Louise or Tallulah.
-
C.
Pedro Rousseff
Pedro Rousseff is the son of former Brazilian president Dilma Rousseff.
-
D.
Jair
Jair is a minor biblical judge of Israel mentioned in the Book of Judges, known for his leadership and his thirty sons who rode thirty donkeys and controlled thirty towns.
-
E.
Luiz Inácio
Luiz Inácio is the given first name of Luiz Inácio Lula da Silva, the Brazilian politician and former president widely known simply as Lula.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e653e388190a4696cdb22546715 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffad397f44819094cb48b209cb7476 |
completed | May 9, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffad9529e481909c0be1aac918ae2e |
completed | May 9, 2026, 9:56 p.m. |
Created at: April 10, 2026, 4:49 a.m.