Triple
T13728461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nymphomaniac |
E329726
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Charlotte Gainsbourg |
E98618
|
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: Charlotte Gainsbourg | Statement: [Nymphomaniac, stars, Charlotte Gainsbourg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Gainsbourg Context triple: [Nymphomaniac, stars, Charlotte Gainsbourg]
-
A.
Charlotte Gainsbourg
chosen
Charlotte Gainsbourg is a French-British actress and singer known for her nuanced performances in art-house cinema and her collaborations with director Lars von Trier.
-
B.
Laetitia Casta
Laetitia Casta is a French supermodel and actress known for her work with major fashion houses and her roles in European cinema.
-
C.
Jane Birkin
Jane Birkin was an English-French actress and singer renowned for her artistic partnership with Serge Gainsbourg and her enduring influence on fashion and popular culture.
-
D.
Ludivine Sagnier
Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
-
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.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.