Triple
T6298050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nellee Hooper |
E141179
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Björk |
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 | Statement: [Nellee Hooper, associatedAct, Björk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Björk Context triple: [Nellee Hooper, associatedAct, Björk]
-
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.
Lykke Li
Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
-
C.
Joanna Newsom
Joanna Newsom is an American singer-songwriter and harpist known for her intricate compositions, poetic lyrics, and distinctive vocal style.
-
D.
Enya
Enya is an Irish singer, songwriter, and musician renowned for her ethereal, multi-layered vocal style and atmospheric new-age music that has achieved worldwide commercial success.
-
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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643bd0748190af7abbebb6f94242 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51993b8ec8190a0813d66851ac201 |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.