Triple
T22769323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Christmas (Black Mirror) |
E563211
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Rasmus Hardiker |
—
|
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: Rasmus Hardiker | Statement: [White Christmas (Black Mirror), stars, Rasmus Hardiker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasmus Hardiker Context triple: [White Christmas (Black Mirror), stars, Rasmus Hardiker]
-
A.
Rasmus Hardiker
chosen
Rasmus Hardiker is a British actor known for his roles in television comedies and dramas, as well as voice work in animated series.
-
B.
Rasmus Heise
Rasmus Heise is a cinematographer best known for his work on the fantasy-drama film "I Kill Giants."
-
C.
Rasmus Ehrnborn
Rasmus Ehrnborn is a Swedish musician best known as a bassist for the melodic death metal band Soilwork.
-
D.
Rasmus Hedegaard
Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
-
E.
Jonas Kahnwald
Jonas Kahnwald is the time-traveling protagonist of the German sci-fi thriller series "Dark," whose complex journey across multiple timelines drives the show's central mystery.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.