Triple
T21898602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Nobody |
E540748
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Christophe Beaucarne |
—
|
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: Christophe Beaucarne | Statement: [Mr. Nobody, cinematographyBy, Christophe Beaucarne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christophe Beaucarne Context triple: [Mr. Nobody, cinematographyBy, Christophe Beaucarne]
-
A.
Christophe Beaucarne
chosen
Christophe Beaucarne is a Belgian cinematographer known for his visually refined work on European art-house and mainstream films.
-
B.
Christophe Malavoy
Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
-
C.
Christophe Le Friant
Christophe Le Friant is a French DJ, record producer, and remixer best known under his stage name Bob Sinclar, a prominent figure in the international house music scene.
-
D.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
E.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.