Triple
T22656436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua |
E559238
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Lene Nystrøm
Lene Nystrøm is a Norwegian singer best known as the lead vocalist of the Danish-Norwegian pop group Aqua, famous for their 1990s hit "Barbie Girl."
|
E1547943
|
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: Lene Nystrøm | Statement: [Aqua, member, Lene Nystrøm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lene Nystrøm Context triple: [Aqua, member, Lene Nystrøm]
-
A.
Lene Andersen
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
-
B.
Lene Bausager
Lene Bausager is a film producer best known for her work on the Academy Award–nominated short film "Cashback."
-
C.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
D.
Ghita Nørby
Ghita Nørby is a renowned Danish actress celebrated for her extensive film, television, and theater career, making her one of Denmark’s most prominent and respected performers.
-
E.
Louise Lunde
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
- 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: Lene Nystrøm Triple: [Aqua, member, Lene Nystrøm]
Generated description
Lene Nystrøm is a Norwegian singer best known as the lead vocalist of the Danish-Norwegian pop group Aqua, famous for their 1990s hit "Barbie Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lene Nystrøm Target entity description: Lene Nystrøm is a Norwegian singer best known as the lead vocalist of the Danish-Norwegian pop group Aqua, famous for their 1990s hit "Barbie Girl."
-
A.
Lene Andersen
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
-
B.
Lene Bausager
Lene Bausager is a film producer best known for her work on the Academy Award–nominated short film "Cashback."
-
C.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
D.
Ghita Nørby
Ghita Nørby is a renowned Danish actress celebrated for her extensive film, television, and theater career, making her one of Denmark’s most prominent and respected performers.
-
E.
Louise Lunde
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765b93dc8190a0357dd4b6ae524a |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b586cd2b8819095ff984b9c14c1ec |
completed | May 18, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_6a0b6f5f8bd08190b325b9dd91e199e1 |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7044c94c81909a43b04f40af2a15 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 17, 2026, 3:06 p.m.