Triple
T23002233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar (2019 film) |
E572664
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Katheryn Winnick |
—
|
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: Katheryn Winnick | Statement: [Polar (2019 film), starring, Katheryn Winnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katheryn Winnick Context triple: [Polar (2019 film), starring, Katheryn Winnick]
-
A.
Katheryn Winnick
chosen
Katheryn Winnick is a Canadian actress best known for her role as the fierce shield-maiden Lagertha in the television series "Vikings" and for appearances in various film and TV productions.
-
B.
Erica Durance
Erica Durance is a Canadian actress best known for playing Lois Lane on the television series "Smallville."
-
C.
Rhiannon Weaver
Rhiannon Weaver is a central figure in Kingsley Amis’s novel *The Old Devils*, around whom much of the book’s interpersonal drama and emotional tension revolves.
-
D.
Alex Kingston
Alex Kingston is an English actress best known for her roles in the television series "ER" and "Doctor Who," as well as numerous film and stage productions.
-
E.
Katherine Waterston
Katherine Waterston is an American actress known for roles in films such as "Inherent Vice," the "Fantastic Beasts" series, and "Alien: Covenant."
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18353d05481909abacb48a14ef21e |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.