Triple
T10737575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalet Girl |
E253231
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ken Duken
Ken Duken is a German actor and director known for his work in both domestic and international film and television productions.
|
E887170
|
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: Ken Duken | Statement: [Chalet Girl, starring, Ken Duken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Duken Context triple: [Chalet Girl, starring, Ken Duken]
-
A.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
B.
Mahe Drysdale
Mahe Drysdale is a New Zealand rower renowned for his multiple Olympic and World Championship titles in the single sculls.
-
C.
Cullen Landis
Cullen Landis was an American silent film actor prominent in the 1910s and 1920s, known for his boy-next-door roles in numerous dramas and comedies.
-
D.
Lance Crouther
Lance Crouther is an American actor, comedian, and writer best known for his collaborations with Chris Rock and for starring in the satirical film "Pootie Tang."
-
E.
Guy Burchett
Guy Burchett was a young motorcycle courier for Elton John’s record label whose untimely death inspired Elton John’s instrumental piece "Song for Guy."
- 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: Ken Duken Triple: [Chalet Girl, starring, Ken Duken]
Generated description
Ken Duken is a German actor and director known for his work in both domestic and international film and television productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Duken Target entity description: Ken Duken is a German actor and director known for his work in both domestic and international film and television productions.
-
A.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
B.
Mahe Drysdale
Mahe Drysdale is a New Zealand rower renowned for his multiple Olympic and World Championship titles in the single sculls.
-
C.
Cullen Landis
Cullen Landis was an American silent film actor prominent in the 1910s and 1920s, known for his boy-next-door roles in numerous dramas and comedies.
-
D.
Lance Crouther
Lance Crouther is an American actor, comedian, and writer best known for his collaborations with Chris Rock and for starring in the satirical film "Pootie Tang."
-
E.
Guy Burchett
Guy Burchett was a young motorcycle courier for Elton John’s record label whose untimely death inspired Elton John’s instrumental piece "Song for Guy."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84932abc8190907c32720e35442e |
completed | April 14, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.