Triple
T21965857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Élisabeth Depardieu |
E542454
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Élisabeth Depardieu |
—
|
NE NERFINISHED |
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: Élisabeth Depardieu | Statement: [Élisabeth Depardieu, name, Élisabeth Depardieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Élisabeth Depardieu Context triple: [Élisabeth Depardieu, name, Élisabeth Depardieu]
-
A.
Élisabeth Depardieu
chosen
Élisabeth Depardieu is a French actress and film producer, known for her work in French cinema and her former marriage to actor Gérard Depardieu.
-
B.
Nelly Auteuil
Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
-
C.
Julie Depardieu
Julie Depardieu is a French actress and director known for her acclaimed performances in contemporary French cinema and her work in both film and theater.
-
D.
Annick Huppert
Annick Huppert is the mother of acclaimed French actress Isabelle Huppert.
-
E.
Claudie Haigneré
Claudie Haigneré is a French physician, astronaut, and former government minister who became the first French woman in space and a prominent figure in European space exploration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.