Triple
T396141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyte van Hoytema |
E8986
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Let the Right One In |
E50438
|
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: Let the Right One In | Statement: [Hoyte van Hoytema, workedOn, Let the Right One In]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let the Right One In Context triple: [Hoyte van Hoytema, workedOn, Let the Right One In]
-
A.
Let the Right One In
chosen
Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
-
B.
Taboo
Taboo is an American rapper, singer, and member of the hip hop group The Black Eyed Peas, known for his energetic performances and distinctive style.
-
C.
Like Crazy
Like Crazy is a 2011 romantic drama film about a long-distance relationship strained by immigration issues, starring Anton Yelchin and Felicity Jones.
-
D.
Save the Night
"Save the Night" is a song by John Legend from his R&B album "Love in the Future."
-
E.
30 Days of Night
30 Days of Night is a 2007 horror film about a remote Alaskan town besieged by vampires during a month-long polar night.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec8a941081909a152fda0ce24a98 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4103d84bc819095f95ce4ce915114 |
completed | March 1, 2026, 10:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.