Triple
T21919302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un coeur en hiver |
E541259
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Jacqueline Thiédot
Jacqueline Thiédot was a French film editor known for her work on numerous acclaimed French films across several decades.
|
E1508139
|
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: Jacqueline Thiédot | Statement: [Un coeur en hiver, editedBy, Jacqueline Thiédot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Thiédot Context triple: [Un coeur en hiver, editedBy, Jacqueline Thiédot]
-
A.
Jean Lecanuet
Jean Lecanuet was a centrist French politician and presidential candidate known for his pro-European stance and for helping shape the post-Gaullist political landscape.
-
B.
Jeanne Pérez
Jeanne Pérez was a French actress known for her supporting roles in mid-20th-century French cinema, including in Claude Chabrol’s early films.
-
C.
Céline Boutier
Céline Boutier is a French professional golfer on the LPGA and Ladies European Tour, known as one of France’s leading players with multiple international victories.
-
D.
Marie-France Alvarez
Marie-France Alvarez is an actress known for her role in the romantic drama film "Le Week-End."
-
E.
Amandine Billot
Amandine Billot is a film producer known for her work on the action thriller "Colombiana."
- 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: Jacqueline Thiédot Triple: [Un coeur en hiver, editedBy, Jacqueline Thiédot]
Generated description
Jacqueline Thiédot was a French film editor known for her work on numerous acclaimed French films across several decades.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Thiédot Target entity description: Jacqueline Thiédot was a French film editor known for her work on numerous acclaimed French films across several decades.
-
A.
Jean Lecanuet
Jean Lecanuet was a centrist French politician and presidential candidate known for his pro-European stance and for helping shape the post-Gaullist political landscape.
-
B.
Jeanne Pérez
Jeanne Pérez was a French actress known for her supporting roles in mid-20th-century French cinema, including in Claude Chabrol’s early films.
-
C.
Céline Boutier
Céline Boutier is a French professional golfer on the LPGA and Ladies European Tour, known as one of France’s leading players with multiple international victories.
-
D.
Marie-France Alvarez
Marie-France Alvarez is an actress known for her role in the romantic drama film "Le Week-End."
-
E.
Amandine Billot
Amandine Billot is a film producer known for her work on the action thriller "Colombiana."
- 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_6a0a5a13f09c819088b50585423a1835 |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5a967d28819084a37207e17d4f68 |
completed | May 18, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5b24f6708190bfe903dceb0e9210 |
completed | May 18, 2026, 12:19 a.m. |
Created at: April 16, 2026, 7:44 p.m.