Triple
T18853473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Malvy |
E461107
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Malvy
Malvy is a French surname most notably associated with Louis Malvy, a prominent early 20th-century French politician.
|
E1347113
|
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: Malvy | Statement: [Louis Malvy, familyName, Malvy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvy Context triple: [Louis Malvy, familyName, Malvy]
-
A.
Livarot
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
-
B.
Rocoux
Rocoux is a district of the city of Liège in eastern Belgium, known historically as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
-
C.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
D.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
E.
Muntelier
Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
- 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: Malvy Triple: [Louis Malvy, familyName, Malvy]
Generated description
Malvy is a French surname most notably associated with Louis Malvy, a prominent early 20th-century French politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malvy Target entity description: Malvy is a French surname most notably associated with Louis Malvy, a prominent early 20th-century French politician.
-
A.
Livarot
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
-
B.
Rocoux
Rocoux is a district of the city of Liège in eastern Belgium, known historically as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
-
C.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
D.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
E.
Muntelier
Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05b4d8881909af0238f451b0e31 |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575b1b26c8190ac2fbf2615f7f0e0 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05779c180c8190a682ffba162df80d |
completed | May 14, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a057813dd3481909f79b2a78bdec055 |
completed | May 14, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:56 a.m.