Triple
T12773462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Études de mœurs |
E305307
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne
Scènes de la vie privée, de province, parisienne, politique, militaire et de campagne are the major thematic sections into which Honoré de Balzac organized many of the novels and stories of his vast literary cycle La Comédie humaine.
|
E1003033
|
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: Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne | Statement: [Études de mœurs, hasPart, Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne Context triple: [Études de mœurs, hasPart, Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne]
-
A.
Scènes de la vie politique
Scènes de la vie politique is a section of Honoré de Balzac’s La Comédie humaine that groups together his novels and stories focused on political life and power in 19th-century France.
-
B.
Scènes de la vie de province
Scènes de la vie de province is a series of interlinked novels by Honoré de Balzac depicting the social, political, and personal lives of characters in provincial France as part of his larger La Comédie humaine cycle.
-
C.
Scènes de la vie militaire
Scènes de la vie militaire is a collection of military-themed stories by Honoré de Balzac that forms part of his larger novel cycle La Comédie humaine.
-
D.
Scènes pittoresques
Scènes pittoresques is an orchestral suite by French composer Jules Massenet, known for its colorful, picturesque character pieces that evoke various scenic moods.
-
E.
Scènes de la vie parisienne
Scènes de la vie parisienne is a section of Honoré de Balzac’s La Comédie humaine that groups together his novels and stories depicting the manners, society, and everyday life of 19th-century Paris.
- 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: Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne Triple: [Études de mœurs, hasPart, Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne]
Generated description
Scènes de la vie privée, de province, parisienne, politique, militaire et de campagne are the major thematic sections into which Honoré de Balzac organized many of the novels and stories of his vast literary cycle La Comédie humaine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scènes de la vie privée, Scènes de la vie de province, Scènes de la vie parisienne, Scènes de la vie politique, Scènes de la vie militaire, Scènes de la vie de campagne Target entity description: Scènes de la vie privée, de province, parisienne, politique, militaire et de campagne are the major thematic sections into which Honoré de Balzac organized many of the novels and stories of his vast literary cycle La Comédie humaine.
-
A.
Scènes de la vie politique
Scènes de la vie politique is a section of Honoré de Balzac’s La Comédie humaine that groups together his novels and stories focused on political life and power in 19th-century France.
-
B.
Scènes de la vie de province
Scènes de la vie de province is a series of interlinked novels by Honoré de Balzac depicting the social, political, and personal lives of characters in provincial France as part of his larger La Comédie humaine cycle.
-
C.
Scènes de la vie militaire
Scènes de la vie militaire is a collection of military-themed stories by Honoré de Balzac that forms part of his larger novel cycle La Comédie humaine.
-
D.
Scènes pittoresques
Scènes pittoresques is an orchestral suite by French composer Jules Massenet, known for its colorful, picturesque character pieces that evoke various scenic moods.
-
E.
Scènes de la vie parisienne
Scènes de la vie parisienne is a section of Honoré de Balzac’s La Comédie humaine that groups together his novels and stories depicting the manners, society, and everyday life of 19th-century Paris.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fcd4b48190ab610efffcbd1546 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f689e108cc819097bacb28f6bd9a9b |
completed | May 2, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68adcfabc8190a85624e2f1b0bafb |
completed | May 2, 2026, 11:38 p.m. |
Created at: April 9, 2026, 5:28 p.m.