Triple
T16876166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merci pour le chocolat |
E421303
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Michel Robin |
—
|
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: Michel Robin | Statement: [Merci pour le chocolat, castMember, Michel Robin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Robin Context triple: [Merci pour le chocolat, castMember, Michel Robin]
-
A.
Michel Robin
chosen
Michel Robin was a French character actor known for his extensive work in film, television, and theater, often appearing in historical and dramatic roles.
-
B.
Jean-Claude Colin
Jean-Claude Colin was a 19th-century French Catholic priest and founder of the Society of Mary (Marists), known for his role in the post-Revolution revival of religious life in France.
-
C.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
D.
Michel Py
Michel Py is a French local politician best known for serving as the long-time mayor of the Mediterranean commune of Leucate.
-
E.
Pierre Morel
Pierre Morel is a French film director and cinematographer best known for high-octane action movies such as "Taken" and "District 13."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
Created at: April 10, 2026, 5:29 a.m.