Triple
T17077711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avicii |
E414391
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Anki Lidén
Anki Lidén is a Swedish actress known for her extensive work in film, television, and theater, and as the mother of the late DJ and producer Avicii.
|
E1249422
|
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: Anki Lidén | Statement: [Avicii, mother, Anki Lidén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anki Lidén Context triple: [Avicii, mother, Anki Lidén]
-
A.
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.
-
B.
Lina Leandersson
Lina Leandersson is a Swedish actress best known for her acclaimed performance as the child vampire Eli in the 2008 horror film "Let the Right One In."
-
C.
Mina Sundwall
Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
-
D.
Emma Andersson
Emma Andersson is known as the spouse of Swedish ice hockey star Henrik Zetterberg.
-
E.
Stina Lindgren
Stina Lindgren is known as the spouse of acclaimed Swedish author Torgny Lindgren.
- 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: Anki Lidén Triple: [Avicii, mother, Anki Lidén]
Generated description
Anki Lidén is a Swedish actress known for her extensive work in film, television, and theater, and as the mother of the late DJ and producer Avicii.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anki Lidén Target entity description: Anki Lidén is a Swedish actress known for her extensive work in film, television, and theater, and as the mother of the late DJ and producer Avicii.
-
A.
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.
-
B.
Lina Leandersson
Lina Leandersson is a Swedish actress best known for her acclaimed performance as the child vampire Eli in the 2008 horror film "Let the Right One In."
-
C.
Mina Sundwall
Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
-
D.
Emma Andersson
Emma Andersson is known as the spouse of Swedish ice hockey star Henrik Zetterberg.
-
E.
Stina Lindgren
Stina Lindgren is known as the spouse of acclaimed Swedish author Torgny Lindgren.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc625c48190b679a521180e10ad |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edfda588190aff6c6d4c8d64ddd |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01317efec48190ae812586579b1039 |
completed | May 11, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0131e5acb4819098ad7c4532c4118a |
completed | May 11, 2026, 1:33 a.m. |
Created at: April 10, 2026, 5:34 a.m.