Triple
T20014222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniela Mercuri de Almeida |
E494669
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mercuri de Almeida
Mercuri de Almeida is the compound surname of Brazilian singer Daniela Mercury, reflecting her family heritage.
|
E1407390
|
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: Mercuri de Almeida | Statement: [Daniela Mercuri de Almeida, familyName, Mercuri de Almeida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercuri de Almeida Context triple: [Daniela Mercuri de Almeida, familyName, Mercuri de Almeida]
-
A.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
B.
Manoel
Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
-
C.
Henrique
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
D.
Alvalade
Alvalade is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and historical ties to the Alentejo region.
-
E.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
- 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: Mercuri de Almeida Triple: [Daniela Mercuri de Almeida, familyName, Mercuri de Almeida]
Generated description
Mercuri de Almeida is the compound surname of Brazilian singer Daniela Mercury, reflecting her family heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mercuri de Almeida Target entity description: Mercuri de Almeida is the compound surname of Brazilian singer Daniela Mercury, reflecting her family heritage.
-
A.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
B.
Manoel
Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
-
C.
Henrique
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
D.
Alvalade
Alvalade is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and historical ties to the Alentejo region.
-
E.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623a9bd48190a3344a07540170c7 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e233bf48190bb285e6a6f18915f |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:34 p.m.