Triple
T14228219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcos |
E352679
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Marcão
Marcão is a common Brazilian Portuguese nickname, typically a familiar or affectionate diminutive form of the given name Marcos.
|
E1087137
|
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: Marcão | Statement: [Marcos, hasDiminutive, Marcão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcão Context triple: [Marcos, hasDiminutive, Marcão]
-
A.
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.
-
B.
Beto
Beto is a main Muppet character from the Mexican children's television show Plaza Sésamo, known as the serious, responsible counterpart to his best friend Enrique.
-
C.
Beto
Beto is an American politician from Texas known for his high-profile campaigns for the U.S. Senate and the presidency.
-
D.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
-
E.
Aécio Neves
Aécio Neves is a Brazilian politician and former presidential candidate who has served as governor of Minas Gerais and president of the Brazilian Social Democracy Party (PSDB).
- 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: Marcão Triple: [Marcos, hasDiminutive, Marcão]
Generated description
Marcão is a common Brazilian Portuguese nickname, typically a familiar or affectionate diminutive form of the given name Marcos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcão Target entity description: Marcão is a common Brazilian Portuguese nickname, typically a familiar or affectionate diminutive form of the given name Marcos.
-
A.
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.
-
B.
Beto
Beto is a main Muppet character from the Mexican children's television show Plaza Sésamo, known as the serious, responsible counterpart to his best friend Enrique.
-
C.
Beto
Beto is an American politician from Texas known for his high-profile campaigns for the U.S. Senate and the presidency.
-
D.
Pedro Malan
Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
-
E.
Aécio Neves
Aécio Neves is a Brazilian politician and former presidential candidate who has served as governor of Minas Gerais and president of the Brazilian Social Democracy Party (PSDB).
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281801488190bcb17d27ee18cde6 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29a470a08190b18c184466bbe0a9 |
completed | May 8, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2a61842481909388c83480482aeb |
completed | May 8, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:07 a.m.