Triple
T9395125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabelle Huppert |
E226123
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Annick Huppert
Annick Huppert is the mother of acclaimed French actress Isabelle Huppert.
|
E801601
|
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: Annick Huppert | Statement: [Isabelle Huppert, mother, Annick Huppert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annick Huppert Context triple: [Isabelle Huppert, mother, Annick Huppert]
-
A.
Nathalie Baye
Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
-
B.
Nelly Auteuil
Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
-
C.
Sandrine Bonnaire
Sandrine Bonnaire is an acclaimed French actress and filmmaker known for her powerful performances in films such as "Vagabond" and "Under the Sun of Satan."
-
D.
Élisabeth Depardieu
Élisabeth Depardieu is a French actress and film producer, known for her work in French cinema and her former marriage to actor Gérard Depardieu.
-
E.
Juliette Binoche
Juliette Binoche is an acclaimed French actress known for her nuanced performances in international cinema and her Academy Award-winning role in "The English Patient."
- 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: Annick Huppert Triple: [Isabelle Huppert, mother, Annick Huppert]
Generated description
Annick Huppert is the mother of acclaimed French actress Isabelle Huppert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annick Huppert Target entity description: Annick Huppert is the mother of acclaimed French actress Isabelle Huppert.
-
A.
Nathalie Baye
Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
-
B.
Nelly Auteuil
Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
-
C.
Sandrine Bonnaire
Sandrine Bonnaire is an acclaimed French actress and filmmaker known for her powerful performances in films such as "Vagabond" and "Under the Sun of Satan."
-
D.
Élisabeth Depardieu
Élisabeth Depardieu is a French actress and film producer, known for her work in French cinema and her former marriage to actor Gérard Depardieu.
-
E.
Juliette Binoche
Juliette Binoche is an acclaimed French actress known for her nuanced performances in international cinema and her Academy Award-winning role in "The English Patient."
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5112faa08190a8dd2c461d1e7a14 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ccfdf8c819092f2aa1ebe48ac83 |
completed | April 4, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69d12d594cec8190bdabc65a04b286a5 |
completed | April 4, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12db7b224819099427cc571f1046f |
completed | April 4, 2026, 3:26 p.m. |
Created at: March 30, 2026, 7:45 p.m.