Triple
T21919299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un coeur en hiver |
E541259
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Jérôme Tonnerre
Jérôme Tonnerre is a French screenwriter known for his collaborations on acclaimed art-house films, including work with director Claude Sautet.
|
E1516988
|
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: Jérôme Tonnerre | Statement: [Un coeur en hiver, screenwriter, Jérôme Tonnerre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jérôme Tonnerre Context triple: [Un coeur en hiver, screenwriter, Jérôme Tonnerre]
-
A.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
-
B.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
-
C.
Renaud Chassaing
Renaud Chassaing is a French cinematographer known for his work on feature films, including the romantic comedy "The First Time."
-
D.
Laurent Brosse
Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
-
E.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
- 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: Jérôme Tonnerre Triple: [Un coeur en hiver, screenwriter, Jérôme Tonnerre]
Generated description
Jérôme Tonnerre is a French screenwriter known for his collaborations on acclaimed art-house films, including work with director Claude Sautet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jérôme Tonnerre Target entity description: Jérôme Tonnerre is a French screenwriter known for his collaborations on acclaimed art-house films, including work with director Claude Sautet.
-
A.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
-
B.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
-
C.
Renaud Chassaing
Renaud Chassaing is a French cinematographer known for his work on feature films, including the romantic comedy "The First Time."
-
D.
Laurent Brosse
Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
-
E.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12339d88881909e726c9b081bd177 |
completed | April 28, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8098817c8190af77774d30f90873 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a819c890481908303786efeef595c |
completed | May 18, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a826075988190a7148ded16f779c0 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 7:44 p.m.