Triple
T16876163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merci pour le chocolat |
E421303
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Anna Mouglalis |
E1056871
|
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: Anna Mouglalis | Statement: [Merci pour le chocolat, castMember, Anna Mouglalis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Mouglalis Context triple: [Merci pour le chocolat, castMember, Anna Mouglalis]
-
A.
Anna Mouglalis
chosen
Anna Mouglalis is a French actress and former Chanel muse known for her intense screen presence and roles in European art-house and crime films.
-
B.
Marcelle Hainia
Marcelle Hainia was a French actress known for her role in the classic 1932 film "Boudu Saved from Drowning."
-
C.
Anaïs Demoustier
Anaïs Demoustier is a French actress known for her versatile performances in contemporary French cinema, including prominent roles in both independent and mainstream films.
-
D.
Sylvia Maklès
Sylvia Maklès was a French actress and intellectual figure associated with the avant-garde literary milieu of the early 20th century.
-
E.
Laure Martinozzi
Laure Martinozzi was an Italian-born noblewoman and niece of Cardinal Mazarin who became Duchess of Modena and an influential figure in 17th-century European court politics.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc6e77c8190853f747687299fce |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:29 a.m.