Triple
T21809673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Polge |
E538437
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kenzo Power
Kenzo Power is a contemporary men's fragrance by Kenzo, recognized for its minimalist design and fresh, aromatic-woody scent profile.
|
E1502859
|
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: Kenzo Power | Statement: [Olivier Polge, notableWork, Kenzo Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenzo Power Context triple: [Olivier Polge, notableWork, Kenzo Power]
-
A.
Kenzo
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
-
B.
Herve
Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
-
C.
Kumpire Dior
Kumpire Dior is a high mountain peak in the remote Batura Muztagh subrange of the Karakoram in northern Pakistan.
-
D.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
-
E.
Kose
Kose is a settlement in northern Estonia known for lending its name to the historic Pirita-Kose-Kloostrimetsa motor racing circuit near Tallinn.
- 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: Kenzo Power Triple: [Olivier Polge, notableWork, Kenzo Power]
Generated description
Kenzo Power is a contemporary men's fragrance by Kenzo, recognized for its minimalist design and fresh, aromatic-woody scent profile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenzo Power Target entity description: Kenzo Power is a contemporary men's fragrance by Kenzo, recognized for its minimalist design and fresh, aromatic-woody scent profile.
-
A.
Kenzo
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
-
B.
Herve
Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
-
C.
Kumpire Dior
Kumpire Dior is a high mountain peak in the remote Batura Muztagh subrange of the Karakoram in northern Pakistan.
-
D.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
-
E.
Kose
Kose is a settlement in northern Estonia known for lending its name to the historic Pirita-Kose-Kloostrimetsa motor racing circuit near Tallinn.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc4809c8190853e2777a1f573d4 |
completed | April 28, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e88cf888190b185e72216cdf44f |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f31d4788190a5b7d3678c2dd432 |
completed | May 17, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a402328f88190aedece0522614d71 |
completed | May 17, 2026, 10:24 p.m. |
Created at: April 16, 2026, 6:53 p.m.