Triple
T4259676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Épernay |
E96071
|
entity |
| Predicate | hasChampagneHouse |
P55000
|
FINISHED |
| Object |
Mercier
Mercier is a historic Champagne producer based in Épernay, France, known for its accessible, popular sparkling wines and extensive cellars.
|
E427464
|
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: Mercier | Statement: [Épernay, hasChampagneHouse, Mercier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercier Context triple: [Épernay, hasChampagneHouse, Mercier]
-
A.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
B.
Nézet-Séguin
Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
-
C.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
D.
Rabaut Saint-Étienne
Rabaut Saint-Étienne was an 18th-century French Protestant pastor and revolutionary politician who played a significant role in advocating religious tolerance during the French Revolution.
-
E.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
- 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: Mercier Triple: [Épernay, hasChampagneHouse, Mercier]
Generated description
Mercier is a historic Champagne producer based in Épernay, France, known for its accessible, popular sparkling wines and extensive cellars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mercier Target entity description: Mercier is a historic Champagne producer based in Épernay, France, known for its accessible, popular sparkling wines and extensive cellars.
-
A.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
B.
Nézet-Séguin
Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
-
C.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
D.
Rabaut Saint-Étienne
Rabaut Saint-Étienne was an 18th-century French Protestant pastor and revolutionary politician who played a significant role in advocating religious tolerance during the French Revolution.
-
E.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78825508190b2b6ca46c8e1b27c |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b84b58a081909618d0c108317f92 |
completed | March 14, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8be90c88190a4852c625e326f6b |
completed | March 14, 2026, 7:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.