Triple

T16586335
Position Surface form Disambiguated ID Type / Status
Subject CJ Entertainment E402966 entity
Predicate notableWork P4 FINISHED
Object Sunny
"Sunny" is a popular South Korean coming-of-age comedy-drama film that follows a group of women reuniting and reminiscing about their high school friendship.
E1221696 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: Sunny | Statement: [CJ Entertainment, notableWork, Sunny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunny
Context triple: [CJ Entertainment, notableWork, Sunny]
  • A. Sunny
    Sunny is one of the Obama family’s pet dogs, a female Portuguese Water Dog who lived with them in the White House.
  • B. Sunny
    "Sunny" is a 1925 Broadway musical comedy with music by Jerome Kern that became one of his popular stage successes of the era.
  • C. Sunny
    Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
  • D. Sunny
    Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
  • E. Sunny
    Sunny is a child prodigy and skilled hacker in the Metal Gear Solid series, known as the adopted daughter of Otacon and the biological daughter of Olga Gurlukovich.
  • 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: Sunny
Triple: [CJ Entertainment, notableWork, Sunny]
Generated description
"Sunny" is a popular South Korean coming-of-age comedy-drama film that follows a group of women reuniting and reminiscing about their high school friendship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sunny
Target entity description: "Sunny" is a popular South Korean coming-of-age comedy-drama film that follows a group of women reuniting and reminiscing about their high school friendship.
  • A. Sunny
    Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
  • B. Sunny
    Sunny is the highly skilled, conflicted warrior and former clipper who serves as the central protagonist in the post-apocalyptic martial arts series "Into the Badlands."
  • C. Sunny
    Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
  • D. Sunny
    "Sunny" is a classic soul song, most famously performed by Bobby Hebb and widely covered by numerous artists across genres.
  • E. Sunny
    "Sunny" is a soul-jazz instrumental track by Booker T. & the M.G.'s featured on their 1967 album *Hip Hug-Her*, known for its grooving organ-led arrangement.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599cbc448190bc80eef4ad58eb41 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef4f17c819095b3c6f8644b687b completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fd574a4819099d12f36addaca24 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0070bb150881908f9d62b3ba2f4b1d completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:16 a.m.