Triple
T10792065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kåre Hedebrant |
E254604
|
entity |
| Predicate | performedIn |
P795
|
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: [Kåre Hedebrant, performedIn, 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: [Kåre Hedebrant, performedIn, 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.
Lootera
Lootera is a 2013 Indian period romantic drama film directed by Vikramaditya Motwane, loosely inspired by O. Henry’s short story "The Last Leaf."
-
C.
It Follows
It Follows is a 2014 supernatural horror film about a young woman pursued by a relentless, shape-shifting entity after a sexual encounter, acclaimed for its atmospheric tension and allegorical themes.
-
D.
The Hurt Inside
"The Hurt Inside" is a song featured on the Weeknd's critically acclaimed 2020 album "After Hours."
-
E.
Sucker Punch
Sucker Punch is a 2011 fantasy action film directed by Zack Snyder that blends stylized combat sequences with surreal, dreamlike worlds.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f6dfcc81909096895c588ef46f |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84f1fdfc8190a31a13ae434e56c1 |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.