Triple
T14373355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashion and Leather Goods |
E356409
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
Patou
Patou is a historic French fashion house known for its elegant ready-to-wear collections and refined Parisian style.
|
E1095604
|
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: Patou | Statement: [Fashion and Leather Goods, ownsBrand, Patou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patou Context triple: [Fashion and Leather Goods, ownsBrand, Patou]
-
A.
Ratonneau
Ratonneau is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rocky landscapes and Mediterranean coves.
-
B.
Déruchette
Déruchette is a central female character in Victor Hugo's novel "Les Travailleurs de la mer," known as the young woman whose love and fate profoundly shape the protagonist Gilliatt's tragic devotion.
-
C.
Perrot
Perrot is a variant form of the French surname Perrault, historically associated with French-speaking regions and families.
-
D.
Peccot
Peccot is the namesake of the prestigious French mathematical distinction and lecture series known as the Prix Peccot-Vimont at the Collège de France.
-
E.
Tardieu
Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
- 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: Patou Triple: [Fashion and Leather Goods, ownsBrand, Patou]
Generated description
Patou is a historic French fashion house known for its elegant ready-to-wear collections and refined Parisian style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patou Target entity description: Patou is a historic French fashion house known for its elegant ready-to-wear collections and refined Parisian style.
-
A.
Ratonneau
Ratonneau is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rocky landscapes and Mediterranean coves.
-
B.
Déruchette
Déruchette is a central female character in Victor Hugo's novel "Les Travailleurs de la mer," known as the young woman whose love and fate profoundly shape the protagonist Gilliatt's tragic devotion.
-
C.
Perrot
Perrot is a variant form of the French surname Perrault, historically associated with French-speaking regions and families.
-
D.
Peccot
Peccot is the namesake of the prestigious French mathematical distinction and lecture series known as the Prix Peccot-Vimont at the Collège de France.
-
E.
Tardieu
Tardieu is a French surname historically associated with several notable figures in politics, arts, and sciences.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5514688190be90776c8764d4f3 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4d56b67c8190bc9ecd4f444df780 |
completed | May 8, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e9a678c8190bd1821e6c43a3a1a |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.