Triple
T2216799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABBA |
E48050
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fernando
"Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
|
E267907
|
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: Fernando | Statement: [ABBA, notableWork, Fernando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernando Context triple: [ABBA, notableWork, Fernando]
-
A.
Fernando
Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
-
B.
Alfonso
Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
-
C.
Francisco
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
-
D.
Manuel
Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
-
E.
Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
- 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: Fernando Triple: [ABBA, notableWork, Fernando]
Generated description
"Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fernando Target entity description: "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
-
A.
Fernando
Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
-
B.
Alfonso
Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
-
C.
Francisco
Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
-
D.
Manuel
Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
-
E.
Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef085c9f48190a9adfff98c30f4f5 |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef4301658819089163e8a4c640c01 |
completed | March 9, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef817f22481908a5fdcb46fa095d2 |
completed | March 9, 2026, 4:40 p.m. |
Created at: March 4, 2026, 7:46 p.m.