Triple

T396132
Position Surface form Disambiguated ID Type / Status
Subject Hoyte van Hoytema E8986 entity
Predicate knownFor P22 FINISHED
Object Let the Right One In
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.
 E50438 NE FINISHED

How this triple was built (4 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, knownFor, 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, knownFor, Let the Right One In]
  • A. 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.
  • B. 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.
  • C. Save the Night
    "Save the Night" is a song by John Legend from his R&B album "Love in the Future."
  • D. 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.
  • E. Obsessed
    Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Let the Right One In
Triple: [Hoyte van Hoytema, knownFor, Let the Right One In]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Let the Right One In
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. Save the Night
    "Save the Night" is a song by John Legend from his R&B album "Love in the Future."
  • D. 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.
  • E. Obsessed
    Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
  • F. None of above. chosen

Provenance (5 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_69a40ad7ebec8190a0a4ee16b20cea57 completed March 1, 2026, 9:46 a.m.
NEDg Description generation batch_69a40cc295e88190b4adb738b0ba8161 completed March 1, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69a40d4137c48190a00522b114096bd5 completed March 1, 2026, 9:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.