Triple
T17990814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flickering Lights |
E430364
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Søren Pilmark
Søren Pilmark is a Danish actor, comedian, and director known for his work in film, television, and theater in Denmark.
|
E1325886
|
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: Søren Pilmark | Statement: [Flickering Lights, castMember, Søren Pilmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Søren Pilmark Context triple: [Flickering Lights, castMember, Søren Pilmark]
-
A.
Søren Wichmann
Søren Wichmann is a linguist known for his extensive research on indigenous Mesoamerican languages, language classification, and quantitative approaches to historical linguistics.
-
B.
Joachim Holbek
Joachim Holbek is a Danish composer best known for creating the musical score for Lars von Trier’s film "Dogville."
-
C.
Peter Aalbæk Jensen
Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
-
D.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
-
E.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
- 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: Søren Pilmark Triple: [Flickering Lights, castMember, Søren Pilmark]
Generated description
Søren Pilmark is a Danish actor, comedian, and director known for his work in film, television, and theater in Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Søren Pilmark Target entity description: Søren Pilmark is a Danish actor, comedian, and director known for his work in film, television, and theater in Denmark.
-
A.
Søren Wichmann
Søren Wichmann is a linguist known for his extensive research on indigenous Mesoamerican languages, language classification, and quantitative approaches to historical linguistics.
-
B.
Joachim Holbek
Joachim Holbek is a Danish composer best known for creating the musical score for Lars von Trier’s film "Dogville."
-
C.
Peter Aalbæk Jensen
Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
-
D.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
-
E.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
- 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_6a043f10b31081909c26a0b539d236a8 |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a043f6141688190add2239930714a0d |
completed | May 13, 2026, 9:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0440296c188190b7af4b133e0620f2 |
completed | May 13, 2026, 9:11 a.m. |
Created at: April 10, 2026, 10:23 a.m.