Triple
T5632323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Vie Est Belle |
E147862
|
entity |
| Predicate | perfumer |
P39615
|
FINISHED |
| Object |
Anne Flipo
Anne Flipo is a renowned French perfumer celebrated for creating numerous successful fragrances for major luxury brands.
|
E542962
|
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: Anne Flipo | Statement: [La Vie Est Belle, perfumer, Anne Flipo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Flipo Context triple: [La Vie Est Belle, perfumer, Anne Flipo]
-
A.
Jeannine Guillou
Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
-
B.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
C.
Irma Bécot
Irma Bécot is a character in Émile Zola’s novel "L’Œuvre," representing the Parisian demi-monde and the complex social milieu surrounding the struggling artist protagonists.
-
D.
Suzanne Ferrière
Suzanne Ferrière was a Swiss social worker and humanitarian known for her influential role in the International Committee of the Red Cross during the first half of the 20th century.
-
E.
Monique Dunan
Monique Dunan was a costume designer known for her work on the film "Fedora."
- 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: Anne Flipo Triple: [La Vie Est Belle, perfumer, Anne Flipo]
Generated description
Anne Flipo is a renowned French perfumer celebrated for creating numerous successful fragrances for major luxury brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Flipo Target entity description: Anne Flipo is a renowned French perfumer celebrated for creating numerous successful fragrances for major luxury brands.
-
A.
Jeannine Guillou
Jeannine Guillou was a French painter and the first wife and close artistic companion of the Russian-born French artist Nicolas de Staël.
-
B.
Suzanne Jolibois
Suzanne Jolibois was the wife of French phenomenologist and philosopher Maurice Merleau-Ponty.
-
C.
Irma Bécot
Irma Bécot is a character in Émile Zola’s novel "L’Œuvre," representing the Parisian demi-monde and the complex social milieu surrounding the struggling artist protagonists.
-
D.
Suzanne Ferrière
Suzanne Ferrière was a Swiss social worker and humanitarian known for her influential role in the International Committee of the Red Cross during the first half of the 20th century.
-
E.
Monique Dunan
Monique Dunan was a costume designer known for her work on the film "Fedora."
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0225e8e848190a9ccd48fc0d74e5c |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07da656f8819083fa9fc63f2ec4a5 |
completed | March 22, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_69c08bb824988190902e422b7c468c8f |
completed | March 23, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08c6d1a788190acb7651a1f144d9d |
completed | March 23, 2026, 12:42 a.m. |
Created at: March 22, 2026, 3:40 p.m.