Triple

T5691110
Position Surface form Disambiguated ID Type / Status
Subject Korean film industry E125428 entity
Predicate notableFilm P22 FINISHED
Object Burning
Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
 E539965 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: Burning | Statement: [Korean film industry, notableFilm, Burning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burning
Context triple: [Korean film industry, notableFilm, Burning]
  • A. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • B. Burn
    Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
  • C. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • D. Burn
    "Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
  • E. Burn
    Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
  • 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: Burning
Triple: [Korean film industry, notableFilm, Burning]
Generated description
Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burning
Target entity description: Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
  • A. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • B. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • C. Burn
    "Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
  • D. Burn
    Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
  • E. Burn
    Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e500ec8190bfda4f6a818aa5dc completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4baea481908b4766888fd3edf1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05cfae55c81908658b4b5d5f03c96 completed March 22, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69c05e061ff88190b9387358cc8bc199 completed March 22, 2026, 9:24 p.m.
Created at: March 22, 2026, 3:44 p.m.