Triple
T9751627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutschland 86 |
E236454
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Jonas Nay
Jonas Nay is a German actor best known internationally for his leading role as an East German spy in the television drama series Deutschland 83 and its sequels.
|
E821096
|
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: Jonas Nay | Statement: [Deutschland 86, stars, Jonas Nay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonas Nay Context triple: [Deutschland 86, stars, Jonas Nay]
-
A.
Jonas Saur
Jonas Saur was an early 17th-century printer known for producing Johannes Kepler’s influential astronomical work, the Rudolphine Tables.
-
B.
Jonas Morin
Jonas Morin is a music video director known for directing the video for the song "Saturday."
-
C.
Jonas Kahnwald
Jonas Kahnwald is the time-traveling protagonist of the German sci-fi thriller series "Dark," whose complex journey across multiple timelines drives the show's central mystery.
-
D.
Jonas Seaman
Jonas Seaman was an early American innkeeper best known for establishing what became the historic Golden Lamb Inn in Lebanon, Ohio.
-
E.
Jonas Taylor
Jonas Taylor is the deep-sea rescue diver and shark-fighting protagonist of the sci-fi action film series "The Meg."
- 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: Jonas Nay Triple: [Deutschland 86, stars, Jonas Nay]
Generated description
Jonas Nay is a German actor best known internationally for his leading role as an East German spy in the television drama series Deutschland 83 and its sequels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonas Nay Target entity description: Jonas Nay is a German actor best known internationally for his leading role as an East German spy in the television drama series Deutschland 83 and its sequels.
-
A.
Jonas Saur
Jonas Saur was an early 17th-century printer known for producing Johannes Kepler’s influential astronomical work, the Rudolphine Tables.
-
B.
Jonas Morin
Jonas Morin is a music video director known for directing the video for the song "Saturday."
-
C.
Jonas Kahnwald
Jonas Kahnwald is the time-traveling protagonist of the German sci-fi thriller series "Dark," whose complex journey across multiple timelines drives the show's central mystery.
-
D.
Jonas Seaman
Jonas Seaman was an early American innkeeper best known for establishing what became the historic Golden Lamb Inn in Lebanon, Ohio.
-
E.
Jonas Taylor
Jonas Taylor is the deep-sea rescue diver and shark-fighting protagonist of the sci-fi action film series "The Meg."
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c40da67c8190b9a0193e9b04fedd |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4c37e248190a1b10cf6d0056c02 |
completed | April 5, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c56957f8819080eca0a71c24f86a |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:24 p.m.