Triple
T10337915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-François Champollion |
E243053
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rosine Blanc
Rosine Blanc was the wife of French scholar Jean-François Champollion, the linguist who deciphered Egyptian hieroglyphs.
|
E856836
|
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: Rosine Blanc | Statement: [Jean-François Champollion, spouse, Rosine Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosine Blanc Context triple: [Jean-François Champollion, spouse, Rosine Blanc]
-
A.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
-
B.
Françoise
Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
-
C.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
D.
Enrichetta Blondel
Enrichetta Blondel was the first wife of Italian novelist and poet Alessandro Manzoni, known for her influence on his personal life and religious convictions.
-
E.
Béatrice
Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
- 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: Rosine Blanc Triple: [Jean-François Champollion, spouse, Rosine Blanc]
Generated description
Rosine Blanc was the wife of French scholar Jean-François Champollion, the linguist who deciphered Egyptian hieroglyphs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosine Blanc Target entity description: Rosine Blanc was the wife of French scholar Jean-François Champollion, the linguist who deciphered Egyptian hieroglyphs.
-
A.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
-
B.
Françoise
Françoise is a central character in Éric Rohmer’s film "My Night at Maud’s," representing the devout, idealized young woman with whom the protagonist becomes romantically involved.
-
C.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
D.
Enrichetta Blondel
Enrichetta Blondel was the first wife of Italian novelist and poet Alessandro Manzoni, known for her influence on his personal life and religious convictions.
-
E.
Béatrice
Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a3a8e4819097268ce101dec2d1 |
completed | April 7, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506278f881908b090b13706e5d4e |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d75133588c819093af59327b951cd7 |
completed | April 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d751d4aa908190a825322ebf0066af |
completed | April 9, 2026, 7:14 a.m. |
Created at: April 6, 2026, 11:54 a.m.