Triple

T2198768
Position Surface form Disambiguated ID Type / Status
Subject Let the Right One In E50438 entity
Predicate hasRemake P21944 FINISHED
Object Let Me In
Let Me In is a 2010 American-British horror film directed by Matt Reeves, adapting the Swedish vampire story "Let the Right One In" for an English-speaking audience.
 E242707 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 Me In | Statement: [Let the Right One In, hasRemake, Let Me In]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Let Me In
Context triple: [Let the Right One In, hasRemake, Let Me In]
  • A. 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.
  • B. Let Me Go
    "Let Me Go" is a song featured on the R&B singer Keke Wyatt's album "Two Eleven."
  • C. Stay the Night
    "Stay the Night" is a song by the American punk rock band Green Day from their album ¡Uno!.
  • D. Stay the Night
    "Stay the Night" is an R&B song by Mariah Carey from her 2005 album The Emancipation of Mimi, noted for its soulful vocals and contemporary production.
  • E. Me, Myself and I
    "Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
  • 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 Me In
Triple: [Let the Right One In, hasRemake, Let Me In]
Generated description
Let Me In is a 2010 American-British horror film directed by Matt Reeves, adapting the Swedish vampire story "Let the Right One In" for an English-speaking audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Let Me In
Target entity description: Let Me In is a 2010 American-British horror film directed by Matt Reeves, adapting the Swedish vampire story "Let the Right One In" for an English-speaking audience.
  • A. 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.
  • B. Let Me Go
    "Let Me Go" is a song featured on the R&B singer Keke Wyatt's album "Two Eleven."
  • C. Stay the Night
    "Stay the Night" is an R&B song by Mariah Carey from her 2005 album The Emancipation of Mimi, noted for its soulful vocals and contemporary production.
  • D. Stay the Night
    "Stay the Night" is a song by the American punk rock band Green Day from their album ¡Uno!.
  • E. Me, Myself and I
    "Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
  • 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_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.
NEDg Description generation batch_69ae5e866d108190b39853172d1ed1a6 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5edfe80481908c3304c917c9065b completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:46 p.m.