Triple
T17990818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickering Lights |
E430364
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Peter Andersson
Peter Andersson is a Swedish actor known for his roles in Scandinavian film and television, including the crime genre.
|
E1299870
|
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: Peter Andersson | Statement: [Flickering Lights, castMember, Peter Andersson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Andersson Context triple: [Flickering Lights, castMember, Peter Andersson]
-
A.
Peter Andersson
Peter Andersson is a Swedish musician best known as the founder and main creative force behind the dark ambient project Raison d'être.
-
B.
Jan Andersson
Jan Andersson is a Swedish politician who served as a Member of the European Parliament representing the Swedish Social Democratic Party.
-
C.
Sven Andersson
Sven Andersson is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Andersson.
-
D.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
-
E.
Anders Pålsson
Anders Pålsson is a Swedish football executive best known for leading Malmö FF, one of Sweden’s most successful football clubs.
- 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: Peter Andersson Triple: [Flickering Lights, castMember, Peter Andersson]
Generated description
Peter Andersson is a Swedish actor known for his roles in Scandinavian film and television, including the crime genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Andersson Target entity description: Peter Andersson is a Swedish actor known for his roles in Scandinavian film and television, including the crime genre.
-
A.
Peter Andersson
Peter Andersson is a Swedish musician best known as the founder and main creative force behind the dark ambient project Raison d'être.
-
B.
Jan Andersson
Jan Andersson is a Swedish politician who served as a Member of the European Parliament representing the Swedish Social Democratic Party.
-
C.
Sven Andersson
Sven Andersson is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Andersson.
-
D.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
-
E.
Anders Pålsson
Anders Pålsson is a Swedish football executive best known for leading Malmö FF, one of Sweden’s most successful football clubs.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337acabd481909deced9a61d84ed3 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a0338cd02808190b650f59fc16bab0d |
completed | May 12, 2026, 2:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033cb498248190a3805cd356832cd0 |
completed | May 12, 2026, 2:44 p.m. |
Created at: April 10, 2026, 10:23 a.m.