Triple
T11195497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safy Boutella |
E264910
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Safy Boutella |
E264910
|
NE FINISHED |
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: Safy Boutella | Statement: [Safy Boutella, name, Safy Boutella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safy Boutella Context triple: [Safy Boutella, name, Safy Boutella]
-
A.
Safy Boutella
chosen
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
-
B.
Elyes Gabel
Elyes Gabel is a British actor known for roles in series such as "Game of Thrones," "Scorpion," and various UK television dramas.
-
C.
Omar Sy
Omar Sy is a French actor and comedian best known internationally for his breakout role in the film "The Intouchables" and subsequent work in movies like "Jurassic World" and the series "Lupin."
-
D.
Jérôme Seydoux
Jérôme Seydoux is a French businessman and film industry executive, best known as the co-chairman of the cinema chain and production company Pathé.
-
E.
Romain Duris
Romain Duris is a French actor known for his intense, charismatic performances in contemporary French cinema, often portraying complex and troubled characters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4840640688190a5b3c36883b8fce8 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 8, 2026, 9:29 p.m.