Triple
T4874916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis-Alexandre Berthier |
E109176
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berthier
Berthier is a French surname most famously associated with Louis-Alexandre Berthier, a marshal of France and chief of staff to Napoleon.
|
E504223
|
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: Berthier | Statement: [Louis-Alexandre Berthier, familyName, Berthier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berthier Context triple: [Louis-Alexandre Berthier, familyName, Berthier]
-
A.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
B.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
C.
Pontarlier
Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
-
D.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
E.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, 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: Berthier Triple: [Louis-Alexandre Berthier, familyName, Berthier]
Generated description
Berthier is a French surname most famously associated with Louis-Alexandre Berthier, a marshal of France and chief of staff to Napoleon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berthier Target entity description: Berthier is a French surname most famously associated with Louis-Alexandre Berthier, a marshal of France and chief of staff to Napoleon.
-
A.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
B.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
C.
Pontarlier
Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
-
D.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
E.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6da1b45881909d45cb1214f5bdde |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef8499148190968800153a95174a |
completed | March 21, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69bef22910e08190bed145941d40bc16 |
completed | March 21, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef24df22c81908fa0c7f9620bb69b |
completed | March 21, 2026, 7:32 p.m. |
Created at: March 20, 2026, 1:27 p.m.