Triple
T2198651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyte van Hoytema |
E50436
|
entity |
| Predicate | notableWork |
P4
|
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, notableWork, 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, notableWork, 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.
The Boy Next Door
"The Boy Next Door" is a romantic ballad from the 1944 MGM musical film *Meet Me in St. Louis*, famously performed by Judy Garland.
-
C.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
D.
Gone
"Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
-
E.
The Cabin in the Woods
The Cabin in the Woods is a 2012 meta-horror film that deconstructs and satirizes classic horror movie tropes through a self-aware, genre-bending storyline.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf7b65cc8190bcc5a5c52b90f33b |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db9b0208190a63a75c86ea9dcff |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.