Triple
T7659096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Lagerfeld |
E173456
|
entity |
| Predicate | pet |
P8711
|
FINISHED |
| Object |
Choupette
Choupette is the famously pampered Birman cat of late fashion designer Karl Lagerfeld, known for her luxurious lifestyle and media celebrity status.
|
E679816
|
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: Choupette | Statement: [Karl Lagerfeld, pet, Choupette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choupette Context triple: [Karl Lagerfeld, pet, Choupette]
-
A.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
B.
Le Chat
Le Chat is a poem by Charles Baudelaire, likely featuring his muse Jeanne Duval, that explores sensuality and mystery through the figure of a cat.
-
C.
Fifi
Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
-
D.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
E.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
- 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: Choupette Triple: [Karl Lagerfeld, pet, Choupette]
Generated description
Choupette is the famously pampered Birman cat of late fashion designer Karl Lagerfeld, known for her luxurious lifestyle and media celebrity status.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Choupette Target entity description: Choupette is the famously pampered Birman cat of late fashion designer Karl Lagerfeld, known for her luxurious lifestyle and media celebrity status.
-
A.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
B.
Le Chat
Le Chat is a poem by Charles Baudelaire, likely featuring his muse Jeanne Duval, that explores sensuality and mystery through the figure of a cat.
-
C.
Fifi
Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
-
D.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
E.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a32f588190a7a923e8ce43f727 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b0d345081909a1d4475fa3876f5 |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89d77b7cc81908120da0121c94537 |
completed | March 29, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89ddd81a88190924d41529e94b06b |
completed | March 29, 2026, 3:34 a.m. |
Created at: March 27, 2026, 3:59 p.m.