Triple
T22368212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreamin’ Wild |
E552965
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Arnaud Potier |
—
|
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: Arnaud Potier | Statement: [Dreamin’ Wild, cinematographyBy, Arnaud Potier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnaud Potier Context triple: [Dreamin’ Wild, cinematographyBy, Arnaud Potier]
-
A.
Arnaud Potier
chosen
Arnaud Potier is a cinematographer known for his work on the 2018 film "Skin" and other international film projects.
-
B.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
C.
Christophe Pélissier
Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
-
D.
Renaud Chassaing
Renaud Chassaing is a French cinematographer known for his work on feature films, including the romantic comedy "The First Time."
-
E.
Arnaud Decagny
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580229688190a6e5e02b484033f7 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.