Triple

T8766480
Position Surface form Disambiguated ID Type / Status
Subject Don't Be Afraid of the Dark E208350 entity
Predicate hasCharacter P2308 FINISHED
Object Kim
Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
E757308 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: Kim | Statement: [Don't Be Afraid of the Dark, hasCharacter, Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim
Context triple: [Don't Be Afraid of the Dark, hasCharacter, Kim]
  • A. Kim
    Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
  • B. Kim
    Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
  • C. Kim
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • D. Kang
    Kang is a recurring alien character from the animated television series "The Simpsons," often appearing in satirical and Halloween-themed episodes alongside his companion Kodos.
  • E. Ken
    Ken is the iconic male doll character and Barbie’s counterpart, portrayed in the 2023 film as a comically self-aware and insecure figure exploring identity and patriarchy.
  • 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: Kim
Triple: [Don't Be Afraid of the Dark, hasCharacter, Kim]
Generated description
Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim
Target entity description: Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
  • A. Kim
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • B. Kim
    Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
  • C. Kim
    Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
  • D. Kang
    Kang is a recurring alien character from the animated television series "The Simpsons," often appearing in satirical and Halloween-themed episodes alongside his companion Kodos.
  • E. Ken
    Ken is the iconic male doll character and Barbie’s counterpart, portrayed in the 2023 film as a comically self-aware and insecure figure exploring identity and patriarchy.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee97fd0819087ef8fe14b37ae43 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf519f029081908ad0ae79f35b3e9d completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf560021148190b60f3f32b0a952b4 completed April 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf5654aa4c8190a368a0caca8ed45b completed April 3, 2026, 5:55 a.m.
Created at: March 30, 2026, 6:41 p.m.