Triple
T20674698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Hoeks |
E508128
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sylvia Hoeks |
—
|
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: Sylvia Hoeks | Statement: [Sylvia Hoeks, name, Sylvia Hoeks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Hoeks Context triple: [Sylvia Hoeks, name, Sylvia Hoeks]
-
A.
Sylvia Hoeks
chosen
Sylvia Hoeks is a Dutch actress best known internationally for her role as the replicant Luv in the science fiction film "Blade Runner 2049."
-
B.
Carice van Houten
Carice van Houten is a Dutch actress best known internationally for her role as Melisandre in the television series "Game of Thrones."
-
C.
Nina Hoss
Nina Hoss is a German actress acclaimed for her powerful performances in film, television, and theater, particularly through her long-standing collaboration with director Christian Petzold.
-
D.
Emmanuelle Devos
Emmanuelle Devos is an acclaimed French actress known for her nuanced performances in contemporary French cinema, often collaborating with prominent auteurs.
-
E.
Catherine Spaak
Catherine Spaak was a French-Italian actress, singer, and television presenter best known for her prominent roles in 1960s Italian cinema and later work on Italian TV.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
Created at: April 16, 2026, 11:44 a.m.