Triple
T10738831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gazelle (Kingsman) |
E253265
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Sofia Boutella |
E48820
|
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: Sofia Boutella | Statement: [Gazelle (Kingsman), portrayedBy, Sofia Boutella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Boutella Context triple: [Gazelle (Kingsman), portrayedBy, Sofia Boutella]
-
A.
Sofia Boutella
chosen
Sofia Boutella is an Algerian-French dancer and actress known for her dynamic action roles in films such as "Kingsman: The Secret Service," "Star Trek Beyond," and "The Mummy."
-
B.
Ariane Labed
Ariane Labed is a French-Greek actress known for her work in art-house and independent cinema, often collaborating with acclaimed directors in critically praised films.
-
C.
Bérénice Marlohe
Bérénice Marlohe is a French actress best known internationally for her role as Sévérine in the James Bond film "Skyfall."
-
D.
Nicolas Seydoux
Nicolas Seydoux is a French film industry executive and producer, notably associated with the Gaumont film company and part of a prominent cinematic family.
-
E.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710424d8c81908ee9b59d622f2af5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de558f26e88190a9cb8f4d0539e5a5 |
completed | April 14, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:14 p.m.