Triple
T11236155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Certified Copy |
E265945
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | MK2 Diffusion |
E913209
|
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: MK2 Diffusion | Statement: [Certified Copy, distributor, MK2 Diffusion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MK2 Diffusion Context triple: [Certified Copy, distributor, MK2 Diffusion]
-
A.
MK2 Diffusion
chosen
MK2 Diffusion is a film distribution company known for handling the French release of notable international titles such as Krzysztof Kieślowski’s "Three Colors: Blue."
-
B.
BLK/MRKT Inc.
BLK/MRKT Inc. is a creative agency and design studio co-founded by street artist Shepard Fairey, known for its work at the intersection of art, branding, and youth culture.
-
C.
Vlone
Vlone is a track by Chicago rapper Valee known for its minimalist production and laid-back, off-kilter flow.
-
D.
Monki
Monki is a youth-oriented fashion brand offering playful, trend-driven clothing and accessories under the H&M Group.
-
E.
MVMT
MVMT is a contemporary watch and accessories brand known for its minimalist designs, direct-to-consumer online sales model, and affordable pricing aimed at younger consumers.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc5bcff08190830d09c9aa0187b2 |
completed | April 19, 2026, 12:36 p.m. |
Created at: April 8, 2026, 9:30 p.m.