Triple
T12249993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcellin Champagnat |
E291946
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Champagnat
Champagnat is a French surname most notably associated with Marcellin Champagnat, the Catholic priest who founded the Marist Brothers.
|
E983581
|
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: Champagnat | Statement: [Marcellin Champagnat, familyName, Champagnat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champagnat Context triple: [Marcellin Champagnat, familyName, Champagnat]
-
A.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
B.
Livarchamps
Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
C.
Charroux
Charroux is a historic commune in western France known for its medieval heritage and the remains of its once-prominent Benedictine abbey.
-
D.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
E.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
- 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: Champagnat Triple: [Marcellin Champagnat, familyName, Champagnat]
Generated description
Champagnat is a French surname most notably associated with Marcellin Champagnat, the Catholic priest who founded the Marist Brothers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Champagnat Target entity description: Champagnat is a French surname most notably associated with Marcellin Champagnat, the Catholic priest who founded the Marist Brothers.
-
A.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
B.
Livarchamps
Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
C.
Charroux
Charroux is a historic commune in western France known for its medieval heritage and the remains of its once-prominent Benedictine abbey.
-
D.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
E.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc6983c81909bf479d15879a357 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eea69448190b5c57a74f4d20dca |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:52 p.m.