Triple
T13716665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Women |
E328918
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Sylvia Hoeks |
E508128
|
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: Sylvia Hoeks | Statement: [Two Women, hasCastMember, Sylvia Hoeks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Hoeks Context triple: [Two Women, hasCastMember, 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.
Vicky Krieps
Vicky Krieps is a Luxembourgish actress known for her acclaimed leading role opposite Daniel Day-Lewis in the period drama film "Phantom Thread."
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.