Triple
T18790011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Une chambre en ville |
E459484
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Fabienne Guyon
Fabienne Guyon is a French actress and singer best known for her work in film and musical theatre.
|
E1374389
|
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: Fabienne Guyon | Statement: [Une chambre en ville, stars, Fabienne Guyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabienne Guyon Context triple: [Une chambre en ville, stars, Fabienne Guyon]
-
A.
Sylvine Thomassin
Sylvine Thomassin is a French local politician who has served as mayor of the commune of Le Plessis-Pâté.
-
B.
Dominique Guélon
Dominique Guélon is a French local politician serving as the mayor of the commune of Orcet in central France.
-
C.
Dominique Mandonnaud
Dominique Mandonnaud is a French entrepreneur best known for transforming and expanding the Sephora beauty retail chain into a global brand.
-
D.
Geneviève Robert
Geneviève Robert is a Canadian actress and filmmaker known for her work in film and television and for her long marriage to director Ivan Reitman.
-
E.
Hélène Régnier
Hélène Régnier is the embattled mother at the center of Claude Chabrol’s film "La Rupture," whose struggle for custody of her son drives the psychological and social drama of the story.
- 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: Fabienne Guyon Triple: [Une chambre en ville, stars, Fabienne Guyon]
Generated description
Fabienne Guyon is a French actress and singer best known for her work in film and musical theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabienne Guyon Target entity description: Fabienne Guyon is a French actress and singer best known for her work in film and musical theatre.
-
A.
Sylvine Thomassin
Sylvine Thomassin is a French local politician who has served as mayor of the commune of Le Plessis-Pâté.
-
B.
Dominique Guélon
Dominique Guélon is a French local politician serving as the mayor of the commune of Orcet in central France.
-
C.
Dominique Mandonnaud
Dominique Mandonnaud is a French entrepreneur best known for transforming and expanding the Sephora beauty retail chain into a global brand.
-
D.
Geneviève Robert
Geneviève Robert is a Canadian actress and filmmaker known for her work in film and television and for her long marriage to director Ivan Reitman.
-
E.
Hélène Régnier
Hélène Régnier is the embattled mother at the center of Claude Chabrol’s film "La Rupture," whose struggle for custody of her son drives the psychological and social drama of the story.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978599008190aaceaff1b1e0a2c7 |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b67a3248190b37c04539ecc13a3 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072d8a5e108190916cd22496c048cb |
completed | May 15, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e3709e881909d70f130a77fc428 |
completed | May 15, 2026, 2:31 p.m. |
Created at: April 10, 2026, 11:53 a.m.