Triple
T13995685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disco Love |
E336689
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object |
Celine Svanbäck
Celine Svanbäck is a songwriter best known for her work on the pop track "Disco Love."
|
E1074182
|
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: Celine Svanbäck | Statement: [Disco Love, songwriter, Celine Svanbäck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celine Svanbäck Context triple: [Disco Love, songwriter, Celine Svanbäck]
-
A.
Marianne Dahlbäck
Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
-
B.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
-
C.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
-
D.
Stina Lindgren
Stina Lindgren is known as the spouse of acclaimed Swedish author Torgny Lindgren.
-
E.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
- 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: Celine Svanbäck Triple: [Disco Love, songwriter, Celine Svanbäck]
Generated description
Celine Svanbäck is a songwriter best known for her work on the pop track "Disco Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celine Svanbäck Target entity description: Celine Svanbäck is a songwriter best known for her work on the pop track "Disco Love."
-
A.
Marianne Dahlbäck
Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
-
B.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
-
C.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
-
D.
Stina Lindgren
Stina Lindgren is known as the spouse of acclaimed Swedish author Torgny Lindgren.
-
E.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9d4a54819091c7efbeb4dcc5f7 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbadc6cb2c8190bdf66ad1fa6dd392 |
completed | May 6, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb01071408190a85e5e9be0150593 |
completed | May 6, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:19 p.m.