Triple
T20619932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mummy (2017 film) |
E506671
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sofia Boutella |
—
|
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: Sofia Boutella | Statement: [The Mummy (2017 film), starring, Sofia Boutella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Boutella Context triple: [The Mummy (2017 film), starring, 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.
Izïa Higelin
Izïa Higelin is a French rock singer and actress known for her energetic music career and acclaimed film performances.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe0e22c81909f6efe21518e33f0 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:41 a.m.