Triple
T17435105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Famille Bélier |
E423981
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
|
E1371937
|
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: Stéphane Célérier | Statement: [La Famille Bélier, producer, Stéphane Célérier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stéphane Célérier Context triple: [La Famille Bélier, producer, Stéphane Célérier]
-
A.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
-
B.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
C.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
-
D.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
-
E.
Laurent Brosse
Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
- 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: Stéphane Célérier Triple: [La Famille Bélier, producer, Stéphane Célérier]
Generated description
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stéphane Célérier Target entity description: Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
-
A.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
-
B.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
C.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
-
D.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
-
E.
Laurent Brosse
Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723ef338c819084b9f2d04aea4290 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07256bcabc819090f9a13046df763f |
completed | May 15, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726306be48190962cb5eebb214136 |
completed | May 15, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:46 a.m.