Triple
T9428330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sugarcubes |
E227309
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Björk Guðmundsdóttir |
E43687
|
NE FINISHED |
How this triple was built (2 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: Björk Guðmundsdóttir | Statement: [The Sugarcubes, member, Björk Guðmundsdóttir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Björk Guðmundsdóttir Context triple: [The Sugarcubes, member, Björk Guðmundsdóttir]
-
A.
Bjork
chosen
Björk is an Icelandic singer, songwriter, and producer known for her innovative, genre-blending music, distinctive voice, and avant-garde visual style.
-
B.
Dóra
Dóra is a Hungarian given name most notably borne by the conceptual and experimental artist Dóra Maurer.
-
C.
Sissel Kyrkjebø
Sissel Kyrkjebø is a Norwegian soprano renowned for her crystal-clear voice and wide-ranging repertoire spanning classical, folk, and pop music.
-
D.
Lykke Li
Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
-
E.
Hildur Guðnadóttir
Hildur Guðnadóttir is an Icelandic composer and cellist renowned for her dark, atmospheric film and television scores, including her Academy Award–winning work on Joker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f69ad0448190a2f472555384f0be |
completed | April 9, 2026, 12:45 a.m. |
Created at: March 30, 2026, 7:49 p.m.