Triple
T1408394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prada |
E31748
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Mario Prada
Mario Prada was an Italian luxury fashion designer and entrepreneur who founded the high-end brand Prada in the early 20th century.
|
E31748
|
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: Mario Prada | Statement: [Prada, foundedBy, Mario Prada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Prada Context triple: [Prada, foundedBy, Mario Prada]
-
A.
Christian Dior
Christian Dior is a legendary French luxury fashion house renowned for its haute couture, ready-to-wear, and iconic influence on modern style.
-
B.
Valentino
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
-
C.
Prada
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
-
D.
Givenchy
Givenchy is a renowned French luxury fashion and perfume house known for its haute couture, ready-to-wear collections, and iconic collaborations with celebrities and models.
-
E.
Kenzo
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
- 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: Mario Prada Triple: [Prada, foundedBy, Mario Prada]
Generated description
Mario Prada was an Italian luxury fashion designer and entrepreneur who founded the high-end brand Prada in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mario Prada Target entity description: Mario Prada was an Italian luxury fashion designer and entrepreneur who founded the high-end brand Prada in the early 20th century.
-
A.
Christian Dior
Christian Dior is a legendary French luxury fashion house renowned for its haute couture, ready-to-wear, and iconic influence on modern style.
-
B.
Valentino
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
-
C.
Prada
chosen
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
-
D.
Givenchy
Givenchy is a renowned French luxury fashion and perfume house known for its haute couture, ready-to-wear collections, and iconic collaborations with celebrities and models.
-
E.
Kenzo
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
- F. None of above.
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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace578fe4c8190a4d4ced933fac0b6 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace61c6f348190bba7717b1bd7f24a |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6eeb99081908ac23a6c71faeae6 |
completed | March 8, 2026, 3:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.