Triple
T13590720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hennessy |
E324684
|
entity |
| Predicate | usesGrapesFrom |
P44919
|
FINISHED |
| Object |
Fins Bois
Fins Bois is a Cognac cru in the Charente region of France known for producing round, fruity eaux-de-vie that mature relatively quickly.
|
E1049890
|
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: Fins Bois | Statement: [Hennessy, usesGrapesFrom, Fins Bois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fins Bois Context triple: [Hennessy, usesGrapesFrom, Fins Bois]
-
A.
Ville-au-Bois
Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
-
B.
Butte-aux-Cailles
Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
-
C.
Haine-Saint-Paul
Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
-
D.
Fullerville
Fullerville is a historic mill village and former industrial community that is now a notable historic site within Villa Rica, Georgia.
-
E.
Tailleville
Tailleville is a small commune in the Calvados department of the Normandy region in northwestern France.
- 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: Fins Bois Triple: [Hennessy, usesGrapesFrom, Fins Bois]
Generated description
Fins Bois is a Cognac cru in the Charente region of France known for producing round, fruity eaux-de-vie that mature relatively quickly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fins Bois Target entity description: Fins Bois is a Cognac cru in the Charente region of France known for producing round, fruity eaux-de-vie that mature relatively quickly.
-
A.
Ville-au-Bois
Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
-
B.
Butte-aux-Cailles
Butte-aux-Cailles is a picturesque, village-like neighborhood in Paris known for its cobbled streets, street art, and lively cafés.
-
C.
Haine-Saint-Paul
Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
-
D.
Fullerville
Fullerville is a historic mill village and former industrial community that is now a notable historic site within Villa Rica, Georgia.
-
E.
Tailleville
Tailleville is a small commune in the Calvados department of the Normandy region in northwestern France.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f779178dc48190bb0de790de30d8b0 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.