Triple
T20932535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten |
E515503
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | MK2 (France) |
—
|
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: MK2 (France) | Statement: [Ten, distributor, MK2 (France)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MK2 (France) Context triple: [Ten, distributor, MK2 (France)]
-
A.
MK2 (France)
chosen
MK2 (France) is a French film production and distribution company known for its art-house and auteur cinema catalog.
-
B.
Renk France
Renk France is the French subsidiary of the German engineering company Renk AG, specializing in high-performance drive and transmission systems.
-
C.
La Motte-Servolex, France
La Motte-Servolex is a commune in the Savoie department of southeastern France, located near Chambéry in the Auvergne-Rhône-Alpes region.
-
D.
Moulins, France
Moulins, France is a historic town in central France known as the former ducal capital of Bourbonnais, featuring well-preserved medieval architecture and significant cultural heritage.
-
E.
Nice, France
Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.