Triple
T14567206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amour |
E341814
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Isabelle Huppert |
E226123
|
NE FINISHED |
How this triple was built (2 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: Isabelle Huppert | Statement: [Amour, castMember, Isabelle Huppert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabelle Huppert Context triple: [Amour, castMember, Isabelle Huppert]
-
A.
Isabelle Huppert
chosen
Isabelle Huppert is a renowned French actress acclaimed for her intense, complex performances in both art-house and mainstream cinema, making her one of Europe’s most celebrated and awarded film performers.
-
B.
Emmanuelle Riva
Emmanuelle Riva was a French actress acclaimed for her intense, nuanced performances in art-house cinema and for earning an Academy Award nomination late in her career for the film "Amour."
-
C.
Nathalie Baye
Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
-
D.
Jean-Marie Binoche
Jean-Marie Binoche is a French actor and director best known as the father of acclaimed actress Juliette Binoche.
-
E.
Isabelle Adjani
Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:23 a.m.