Triple
T22274218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelly et Monsieur Arnaud |
E550558
|
entity |
| Predicate | translatedTitle |
P6688
|
FINISHED |
| Object | Nelly and Mr. Arnaud |
—
|
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: Nelly and Mr. Arnaud | Statement: [Nelly et Monsieur Arnaud, translatedTitle, Nelly and Mr. Arnaud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelly and Mr. Arnaud Context triple: [Nelly et Monsieur Arnaud, translatedTitle, Nelly and Mr. Arnaud]
-
A.
Nelly et Monsieur Arnaud
chosen
Nelly et Monsieur Arnaud is a 1995 French drama film directed by Claude Sautet that explores the complex, understated relationship between a young woman and an older retired judge.
-
B.
Nellyville
Nellyville is the multi-platinum 2002 hip-hop album by rapper Nelly, featuring major hits like "Hot in Herre" and "Dilemma."
-
C.
Nelly
Nelly is an American rapper, singer, and songwriter known for early-2000s hits like "Hot in Herre" and "Dilemma."
-
D.
Nelly
Nelly is a Canadian singer-songwriter known for her eclectic pop sound and hits like "I'm Like a Bird" and "Promiscuous."
-
E.
Nelly
Nelly is a diminutive given name commonly used as a short form of Cornelia and related names.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea643d48190985371d01aac7bfc |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.