Triple
T13344137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie d’Artois |
E317904
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
d’Artois
d’Artois is a French surname historically associated with French nobility and aristocratic lineages.
|
E1035311
|
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: d’Artois | Statement: [Sophie d’Artois, familyName, d’Artois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: d’Artois Context triple: [Sophie d’Artois, familyName, d’Artois]
-
A.
La Croix-Valmer
La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
-
B.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
C.
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
D.
Count of Étampes
The Count of Étampes was a noble title in medieval France associated with the House of Évreux, linked to the lordship over the region of Étampes.
-
E.
Étiolles
Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
- 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: d’Artois Triple: [Sophie d’Artois, familyName, d’Artois]
Generated description
d’Artois is a French surname historically associated with French nobility and aristocratic lineages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: d’Artois Target entity description: d’Artois is a French surname historically associated with French nobility and aristocratic lineages.
-
A.
La Croix-Valmer
La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
-
B.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
C.
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
D.
Count of Étampes
The Count of Étampes was a noble title in medieval France associated with the House of Évreux, linked to the lordship over the region of Étampes.
-
E.
Étiolles
Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f417e4081908ab2025a313bfad1 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221af9e881908b65ab2e7aec0c78 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.