Triple
T21092686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bienvenue chez les Ch’tis |
E519674
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Philippe Rombi
Philippe Rombi is a French film composer known for his melodic and emotive scores for contemporary French cinema.
|
E1468941
|
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: Philippe Rombi | Statement: [Bienvenue chez les Ch’tis, musicBy, Philippe Rombi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Rombi Context triple: [Bienvenue chez les Ch’tis, musicBy, Philippe Rombi]
-
A.
Christophe Lourdelet
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
B.
Christophe Balestra
Christophe Balestra is a French video game developer best known as the former co-president of Naughty Dog, where he helped lead development on acclaimed series like Uncharted and The Last of Us.
-
C.
Stéphane Raffalli
Stéphane Raffalli is a French local politician who serves as the mayor of the suburban Paris commune of Ris-Orangis.
-
D.
Michel Clément
Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
-
E.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
- 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: Philippe Rombi Triple: [Bienvenue chez les Ch’tis, musicBy, Philippe Rombi]
Generated description
Philippe Rombi is a French film composer known for his melodic and emotive scores for contemporary French cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philippe Rombi Target entity description: Philippe Rombi is a French film composer known for his melodic and emotive scores for contemporary French cinema.
-
A.
Christophe Lourdelet
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
B.
Christophe Balestra
Christophe Balestra is a French video game developer best known as the former co-president of Naughty Dog, where he helped lead development on acclaimed series like Uncharted and The Last of Us.
-
C.
Stéphane Raffalli
Stéphane Raffalli is a French local politician who serves as the mayor of the suburban Paris commune of Ris-Orangis.
-
D.
Michel Clément
Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
-
E.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70950a31c8190bde2d7b414c362c7 |
completed | April 21, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096db0549c8190a92b60e22506efbd |
completed | May 17, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_6a096e80955c819080873bc728d9ab5d |
completed | May 17, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096f5e96cc8190b3be5a773868bd32 |
completed | May 17, 2026, 7:33 a.m. |
Created at: April 16, 2026, 2:51 p.m.