Triple
T13194640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Chapotel |
E314079
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Hyacinthe Chabert
Hyacinthe Chabert was a 19th-century French figure known primarily as the husband of Rose Chapotel, who later married the writer Victor Hugo.
|
E1029259
|
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: Hyacinthe Chabert | Statement: [Rose Chapotel, hasSpouse, Hyacinthe Chabert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyacinthe Chabert Context triple: [Rose Chapotel, hasSpouse, Hyacinthe Chabert]
-
A.
Claude Lantier
Claude Lantier is a passionate, often tormented painter in Émile Zola’s Rougon-Macquart series, embodying the struggles of artistic genius and social alienation in 19th-century France.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Julien
Julien is a given name of French origin commonly used for males in various Francophone and European countries.
-
D.
Charles Auguste Frossard
Charles Auguste Frossard was a French general of the 19th century, noted for his role in the Franco-Prussian War.
-
E.
Georges Guétary
Georges Guétary was a French singer, dancer, and actor best known internationally for his role in the classic musical film "An American in 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: Hyacinthe Chabert Triple: [Rose Chapotel, hasSpouse, Hyacinthe Chabert]
Generated description
Hyacinthe Chabert was a 19th-century French figure known primarily as the husband of Rose Chapotel, who later married the writer Victor Hugo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hyacinthe Chabert Target entity description: Hyacinthe Chabert was a 19th-century French figure known primarily as the husband of Rose Chapotel, who later married the writer Victor Hugo.
-
A.
Claude Lantier
Claude Lantier is a passionate, often tormented painter in Émile Zola’s Rougon-Macquart series, embodying the struggles of artistic genius and social alienation in 19th-century France.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Julien
Julien is a given name of French origin commonly used for males in various Francophone and European countries.
-
D.
Charles Auguste Frossard
Charles Auguste Frossard was a French general of the 19th century, noted for his role in the Franco-Prussian War.
-
E.
Georges Guétary
Georges Guétary was a French singer, dancer, and actor best known internationally for his role in the classic musical film "An American in 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c6158e4819082c8ad75b4dfdd90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff177ba88190afb2043cc157248d |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f700cbb3708190884d05dd0dd22639 |
completed | May 3, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7031a4490819081da260edd969ee8 |
completed | May 3, 2026, 8:11 a.m. |
Created at: April 9, 2026, 9:16 p.m.