Triple
T23419285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuli Edelmann |
E560602
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Timo Edelmann
Timo Edelmann is the child of Finnish actor and singer Samuli Edelmann.
|
E1587174
|
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: Timo Edelmann | Statement: [Samuli Edelmann, parent, Timo Edelmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timo Edelmann Context triple: [Samuli Edelmann, parent, Timo Edelmann]
-
A.
Julian Saenger
Julian Saenger was an American theater entrepreneur best known for developing and operating early 20th-century movie palaces through his Saenger Amusement Company.
-
B.
Timo Sauter
Timo Sauter is an individual notable enough to be recognized as a bearer of the surname Sauter, though specific widely known public information about him is limited.
-
C.
Jonas Dornbach
Jonas Dornbach is a German film producer known for his work on acclaimed international and arthouse cinema.
-
D.
Andreas Scholl
Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
-
E.
Oliver Schündler
Oliver Schündler is a German film producer known for his work on historical and dramatic feature films, including the World War II thriller "13 Minutes."
- 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: Timo Edelmann Triple: [Samuli Edelmann, parent, Timo Edelmann]
Generated description
Timo Edelmann is the child of Finnish actor and singer Samuli Edelmann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timo Edelmann Target entity description: Timo Edelmann is the child of Finnish actor and singer Samuli Edelmann.
-
A.
Julian Saenger
Julian Saenger was an American theater entrepreneur best known for developing and operating early 20th-century movie palaces through his Saenger Amusement Company.
-
B.
Timo Sauter
Timo Sauter is an individual notable enough to be recognized as a bearer of the surname Sauter, though specific widely known public information about him is limited.
-
C.
Jonas Dornbach
Jonas Dornbach is a German film producer known for his work on acclaimed international and arthouse cinema.
-
D.
Andreas Scholl
Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
-
E.
Oliver Schündler
Oliver Schündler is a German film producer known for his work on historical and dramatic feature films, including the World War II thriller "13 Minutes."
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54489d48190b2b2c29701851765 |
completed | April 29, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67a145e88190a59c10b20d3395f9 |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72156130819082e1d07262e144ca |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c770386a8819098358513016ae5ab |
completed | May 19, 2026, 2:43 p.m. |
Created at: April 17, 2026, 5:44 p.m.