Triple
T22100490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entre Nous |
E546156
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Philippe Rousselot |
—
|
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: Philippe Rousselot | Statement: [Entre Nous, cinematographyBy, Philippe Rousselot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Rousselot Context triple: [Entre Nous, cinematographyBy, Philippe Rousselot]
-
A.
Philippe Rousselot
chosen
Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
-
B.
Philippe Sueur
Philippe Sueur is a French politician best known for serving as the long-time mayor of the spa town Enghien-les-Bains in the Île-de-France region.
-
C.
Bruno Coulais
Bruno Coulais is a French composer best known for his atmospheric and innovative film scores, particularly in European cinema and animation.
-
D.
Yves Evrard
Yves Evrard is a Belgian local politician who serves as the mayor of the municipality of Houyet in Wallonia.
-
E.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.