Triple
T13036192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Monde Groupe |
E326565
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
La Vie
La Vie is a French publication associated with the Catholic and Christian press, known for its coverage of social, cultural, and religious issues.
|
E1018612
|
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: La Vie | Statement: [Le Monde Groupe, owns, La Vie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Vie Context triple: [Le Monde Groupe, owns, La Vie]
-
A.
La Vie
La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
-
B.
Vivre sa vie
Vivre sa vie is a 1962 French New Wave film by Jean-Luc Godard that follows a young woman’s descent into prostitution through a series of stylized, documentary-like vignettes.
-
C.
Vivre
"Vivre" is a powerful ballad from the 1998 French musical adaptation of Notre-Dame de Paris, known for its emotional intensity and soaring vocals.
-
D.
La Belle Vie
La Belle Vie is a French-language film whose title translates to "The Good Life" in English.
-
E.
La Vie Est Belle
La Vie Est Belle is a popular women's fragrance by Lancôme known for its sweet, floral-gourmand scent and elegant, feminine character.
- 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: La Vie Triple: [Le Monde Groupe, owns, La Vie]
Generated description
La Vie is a French publication associated with the Catholic and Christian press, known for its coverage of social, cultural, and religious issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Vie Target entity description: La Vie is a French publication associated with the Catholic and Christian press, known for its coverage of social, cultural, and religious issues.
-
A.
La Vie
La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
-
B.
Vivre sa vie
Vivre sa vie is a 1962 French New Wave film by Jean-Luc Godard that follows a young woman’s descent into prostitution through a series of stylized, documentary-like vignettes.
-
C.
Vivre
"Vivre" is a powerful ballad from the 1998 French musical adaptation of Notre-Dame de Paris, known for its emotional intensity and soaring vocals.
-
D.
La Belle Vie
La Belle Vie is a French-language film whose title translates to "The Good Life" in English.
-
E.
La Vie Est Belle
La Vie Est Belle is a popular women's fragrance by Lancôme known for its sweet, floral-gourmand scent and elegant, feminine character.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd12eec81908ad5dae638c2210e |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cdc285788190a05a51295306f087 |
completed | May 3, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ceafcca88190bcd65be3c4440987 |
completed | May 3, 2026, 4:27 a.m. |
Created at: April 9, 2026, 8:55 p.m.