Triple
T10392697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Visitors |
E244929
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object | Rune Söderqvist |
E860000
|
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: Rune Söderqvist | Statement: [The Visitors, coverArtDesigner, Rune Söderqvist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rune Söderqvist Context triple: [The Visitors, coverArtDesigner, Rune Söderqvist]
-
A.
Rune Söderqvist
chosen
Rune Söderqvist was a Swedish graphic designer best known for creating iconic album covers and visual identities for the pop group ABBA.
-
B.
Johan Söderqvist
Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
-
C.
Jan Björklund
Jan Björklund is a Swedish politician and former leader of the Liberal Party who served as Sweden’s Minister for Education and Deputy Prime Minister.
-
D.
Olle Lundin
Olle Lundin is a film editor best known for his work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b6c750819087678bf81a3ef806 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbae9a9c81908178fca68eb142b6 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:06 p.m.