Triple
T10608106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luc Besson |
E275928
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Maïwenn Le Besco |
E678040
|
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: Maïwenn Le Besco | Statement: [Luc Besson, spouse, Maïwenn Le Besco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maïwenn Le Besco Context triple: [Luc Besson, spouse, Maïwenn Le Besco]
-
A.
Maïwenn
chosen
Maïwenn is a French actress and filmmaker known for her intense, character-driven dramas and acclaimed direction in contemporary French cinema.
-
B.
Catherine Breillat
Catherine Breillat is a French filmmaker and novelist known for her provocative, boundary-pushing explorations of sexuality, gender, and power.
-
C.
Marylène Ferrand
Marylène Ferrand is a French landscape architect known for her role in designing Paris’s Parc de Bercy.
-
D.
Viviane Khondji
Viviane Khondji is known as the spouse of acclaimed cinematographer Darius Khondji.
-
E.
Agnès Godard
Agnès Godard is a renowned French cinematographer celebrated for her long-standing collaboration with director Claire Denis and her distinctive, atmospheric visual style.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eb726bc8190a8db7357bd126016 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:32 p.m.