Triple
T22233644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolat |
E549530
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Roschdy Zem |
—
|
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: Roschdy Zem | Statement: [Chocolat, screenwriter, Roschdy Zem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roschdy Zem Context triple: [Chocolat, screenwriter, Roschdy Zem]
-
A.
Roschdy Zem
chosen
Roschdy Zem is a French actor and filmmaker known for his versatile performances in both mainstream and arthouse cinema, including acclaimed roles in films like "Days of Glory" and "Outside the Law."
-
B.
Abdelmalek Droukdel
Abdelmalek Droukdel was an Algerian Islamist militant and emir of Al-Qaeda in the Islamic Maghreb, playing a key role in expanding Al-Qaeda’s operations across North and West Africa.
-
C.
Émile Habibi
Émile Habibi was a prominent Palestinian Arab-Israeli writer and politician best known for his satirical novel "The Secret Life of Saeed: The Pessoptimist."
-
D.
Michel Boujenah
Michel Boujenah is a Tunisian-born French actor and comedian known for his work in film, television, and stand-up comedy.
-
E.
Rachid Mansaur
Rachid Mansaur is a fictional character from the television series "Sirens."
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf61504819093e70bee4c575d1c |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.