Triple
T20996960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanny and Alexander |
E517173
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Jan Malmsjö
Jan Malmsjö is a Swedish actor and singer renowned for his work in film, theatre, and television, including prominent roles in Ingmar Bergman productions.
|
E1461363
|
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: Jan Malmsjö | Statement: [Fanny and Alexander, stars, Jan Malmsjö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Malmsjö Context triple: [Fanny and Alexander, stars, Jan Malmsjö]
-
A.
Jan Lindström
Jan Lindström is a Finnish linguist known for his work in interactional linguistics and Finnish syntax.
-
B.
Rune Söderqvist
Rune Söderqvist was a Swedish graphic designer best known for creating iconic album covers and visual identities for the pop group ABBA.
-
C.
Erik Palmstedt
Erik Palmstedt was an 18th-century Swedish architect best known for his influential neoclassical designs in Stockholm.
-
D.
Stellan Bengtsson
Stellan Bengtsson is a Swedish table tennis legend, renowned as the first Swede to win the men’s singles title at the World Table Tennis Championships in 1971.
-
E.
Jan Andersson
Jan Andersson is a Swedish politician who served as a Member of the European Parliament representing the Swedish Social Democratic Party.
- 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: Jan Malmsjö Triple: [Fanny and Alexander, stars, Jan Malmsjö]
Generated description
Jan Malmsjö is a Swedish actor and singer renowned for his work in film, theatre, and television, including prominent roles in Ingmar Bergman productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Malmsjö Target entity description: Jan Malmsjö is a Swedish actor and singer renowned for his work in film, theatre, and television, including prominent roles in Ingmar Bergman productions.
-
A.
Jan Lindström
Jan Lindström is a Finnish linguist known for his work in interactional linguistics and Finnish syntax.
-
B.
Rune Söderqvist
Rune Söderqvist was a Swedish graphic designer best known for creating iconic album covers and visual identities for the pop group ABBA.
-
C.
Erik Palmstedt
Erik Palmstedt was an 18th-century Swedish architect best known for his influential neoclassical designs in Stockholm.
-
D.
Stellan Bengtsson
Stellan Bengtsson is a Swedish table tennis legend, renowned as the first Swede to win the men’s singles title at the World Table Tennis Championships in 1971.
-
E.
Jan Andersson
Jan Andersson is a Swedish politician who served as a Member of the European Parliament representing the Swedish Social Democratic Party.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc21838081909872eed21bc12a08 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092fcfdcb881909d5d89d9b7201fbe |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a0931a27e788190b593f4c6d5c1d4f4 |
completed | May 17, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093544a4a48190b857d9eef0d48cbf |
completed | May 17, 2026, 3:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.