Triple
T22764674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sing (2016 film) |
E563089
|
entity |
| Predicate | coDirector |
P17194
|
FINISHED |
| Object | Christophe Lourdelet |
—
|
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 Lourdelet | Statement: [Sing (2016 film), coDirector, Christophe Lourdelet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christophe Lourdelet Context triple: [Sing (2016 film), coDirector, Christophe Lourdelet]
-
A.
Christophe Lourdelet
chosen
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
B.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
-
C.
Christophe Balestra
Christophe Balestra is a French video game developer best known as the former co-president of Naughty Dog, where he helped lead development on acclaimed series like Uncharted and The Last of Us.
-
D.
Laurent Chalumeau
Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
-
E.
Christophe Malavoy
Christophe Malavoy is a French actor and director known for his work in film, television, and theater since the late 20th century.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.