Triple
T19790207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modern Talking |
E475389
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cheri, Cheri Lady
"Cheri, Cheri Lady" is a 1985 Eurodisco hit single by German duo Modern Talking, known for its catchy melody and signature synth-driven sound.
|
E1396272
|
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: Cheri, Cheri Lady | Statement: [Modern Talking, notableWork, Cheri, Cheri Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheri, Cheri Lady Context triple: [Modern Talking, notableWork, Cheri, Cheri Lady]
-
A.
Cherie
Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
-
B.
Lovely Lady
Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
-
C.
Ma Cherie
Ma Cherie is a literary work by British-Indian writer Farrukh Dhondy, known for its exploration of cross-cultural themes and contemporary social issues.
-
D.
Hot Cherie
"Hot Cherie" is a melodic hard rock song popularized by the American band Hardline, known for its catchy hooks and prominent guitar work.
-
E.
Cheree Cheree
Cheree Cheree is an independent record label known for releasing music by the artist Twin Shadow.
- 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: Cheri, Cheri Lady Triple: [Modern Talking, notableWork, Cheri, Cheri Lady]
Generated description
"Cheri, Cheri Lady" is a 1985 Eurodisco hit single by German duo Modern Talking, known for its catchy melody and signature synth-driven sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheri, Cheri Lady Target entity description: "Cheri, Cheri Lady" is a 1985 Eurodisco hit single by German duo Modern Talking, known for its catchy melody and signature synth-driven sound.
-
A.
Cherie
Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
-
B.
Lovely Lady
Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
-
C.
Ma Cherie
Ma Cherie is a literary work by British-Indian writer Farrukh Dhondy, known for its exploration of cross-cultural themes and contemporary social issues.
-
D.
Hot Cherie
"Hot Cherie" is a melodic hard rock song popularized by the American band Hardline, known for its catchy hooks and prominent guitar work.
-
E.
Cheree Cheree
Cheree Cheree is an independent record label known for releasing music by the artist Twin Shadow.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fdbf4c8190a9177e87b65fc965 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c90c07a48190b0f23597124b5017 |
completed | May 16, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c97b33b481909e9b45b37cfe87b3 |
completed | May 16, 2026, 1:33 a.m. |
Created at: April 10, 2026, 1:49 p.m.