Triple

T22353935
Position Surface form Disambiguated ID Type / Status
Subject Hong Sang-soo E552602 entity
Predicate notableWork P4 FINISHED
Object Our Sunhi
Our Sunhi is a 2013 South Korean drama film by director Hong Sang-soo that follows a young woman’s awkward, talkative encounters with three men from her past.
 E1532054 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: Our Sunhi | Statement: [Hong Sang-soo, notableWork, Our Sunhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Our Sunhi
Context triple: [Hong Sang-soo, notableWork, Our Sunhi]
  • A. The Son, The Sun
    "The Son, The Sun" is a song by the American post-hardcore band Double Negative.
  • B. A Sun Came
    A Sun Came is the eclectic, genre-blending debut studio album by American singer-songwriter Sufjan Stevens, showcasing his experimental folk and lo-fi sound.
  • C. Under the Sun
    Under the Sun is a 1987 studio album by Australian singer-songwriter Paul Kelly, showcasing his storytelling-driven rock and folk sound.
  • D. Hold the Sun
    "Hold the Sun" is a song by the American rock band Blush, featured as part of their musical catalog.
  • E. Always the Sun
    Always the Sun is a psychological thriller novel by Neil Cross that follows a father’s increasingly desperate quest for justice after his son is violently bullied.
  • 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: Our Sunhi
Triple: [Hong Sang-soo, notableWork, Our Sunhi]
Generated description
Our Sunhi is a 2013 South Korean drama film by director Hong Sang-soo that follows a young woman’s awkward, talkative encounters with three men from her past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Our Sunhi
Target entity description: Our Sunhi is a 2013 South Korean drama film by director Hong Sang-soo that follows a young woman’s awkward, talkative encounters with three men from her past.
  • A. The Son, The Sun
    "The Son, The Sun" is a song by the American post-hardcore band Double Negative.
  • B. A Sun Came
    A Sun Came is the eclectic, genre-blending debut studio album by American singer-songwriter Sufjan Stevens, showcasing his experimental folk and lo-fi sound.
  • C. Under the Sun
    Under the Sun is a 1987 studio album by Australian singer-songwriter Paul Kelly, showcasing his storytelling-driven rock and folk sound.
  • D. Hold the Sun
    "Hold the Sun" is a song by the American rock band Blush, featured as part of their musical catalog.
  • E. Always the Sun
    Always the Sun is a psychological thriller novel by Neil Cross that follows a father’s increasingly desperate quest for justice after his son is violently bullied.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157cd934c8190b9d60805e24ae6a6 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae05c2bd4819086f51f6cb64f59c4 completed May 18, 2026, 9:48 a.m.
NEDg Description generation batch_6a0ae1285bc88190a0d4eb0672f562ff completed May 18, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0ae1913ccc8190b6ad98b8df636153 completed May 18, 2026, 9:53 a.m.
Created at: April 16, 2026, 8:44 p.m.