Triple
T5135900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Kaas |
E115818
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kaas
Kaas is the surname of Patricia Kaas, a renowned French singer and actress known for her blend of pop, cabaret, and chanson.
|
E495908
|
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: Kaas | Statement: [Patricia Kaas, familyName, Kaas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaas Context triple: [Patricia Kaas, familyName, Kaas]
-
A.
Maasdam cheese
Maasdam cheese is a Dutch semi-hard cow's milk cheese similar to Swiss Emmental, known for its large holes, sweet nutty flavor, and good melting properties.
-
B.
Edam
Edam is a historic Dutch town in North Holland, internationally known for its namesake Edam cheese and traditional cheese markets.
-
C.
Manteigas
Manteigas is a small mountain town in central Portugal, known for its scenic location in the Serra da Estrela range and its natural landscapes.
-
D.
Quorn
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
-
E.
Cheese
Cheese is a hyperactive, nonsensical, and often annoying imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for his bizarre behavior and catchphrases.
- 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: Kaas Triple: [Patricia Kaas, familyName, Kaas]
Generated description
Kaas is the surname of Patricia Kaas, a renowned French singer and actress known for her blend of pop, cabaret, and chanson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaas Target entity description: Kaas is the surname of Patricia Kaas, a renowned French singer and actress known for her blend of pop, cabaret, and chanson.
-
A.
Maasdam cheese
Maasdam cheese is a Dutch semi-hard cow's milk cheese similar to Swiss Emmental, known for its large holes, sweet nutty flavor, and good melting properties.
-
B.
Edam
Edam is a historic Dutch town in North Holland, internationally known for its namesake Edam cheese and traditional cheese markets.
-
C.
Manteigas
Manteigas is a small mountain town in central Portugal, known for its scenic location in the Serra da Estrela range and its natural landscapes.
-
D.
Quorn
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
-
E.
Cheese
Cheese is a hyperactive, nonsensical, and often annoying imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for his bizarre behavior and catchphrases.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd785069108190bf9cfdc7d962d43f |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4d04b3c8190bfac5986e1bb89a5 |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec562d0508190851b5a3307e9405b |
completed | March 21, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec6478b848190bc09d7f6485681b4 |
completed | March 21, 2026, 4:24 p.m. |
Created at: March 20, 2026, 1:43 p.m.