Triple

T5070886
Position Surface form Disambiguated ID Type / Status
Subject JR E114274 entity
Predicate notableWork P4 FINISHED
Object So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
 E490392 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: So Close | Statement: [JR, notableWork, So Close]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: So Close
Context triple: [JR, notableWork, So Close]
  • A. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • B. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • C. Come a Little Bit Closer
    "Come a Little Bit Closer" is a 1964 pop hit song by Jay and the Americans, known for its storytelling lyrics and Latin-flavored arrangement.
  • D. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • E. The Closer I Get to You
    "The Closer I Get to You" is a romantic R&B duet most famously recorded by Beyoncé and Luther Vandross, originally popularized by Roberta Flack and Donny Hathaway.
  • 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: So Close
Triple: [JR, notableWork, So Close]
Generated description
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: So Close
Target entity description: So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • A. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • B. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • C. Come a Little Bit Closer
    "Come a Little Bit Closer" is a 1964 pop hit song by Jay and the Americans, known for its storytelling lyrics and Latin-flavored arrangement.
  • D. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • E. The Closer I Get to You
    "The Closer I Get to You" is a romantic R&B duet most famously recorded by Beyoncé and Luther Vandross, originally popularized by Roberta Flack and Donny Hathaway.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4a42dc08190b05276748741c254 completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea61bfc048190818fbff9889753b6 completed March 21, 2026, 2:07 p.m.
NED2 Entity disambiguation (via description) batch_69bea672806c8190b709fea7d44e9cff completed March 21, 2026, 2:08 p.m.
Created at: March 20, 2026, 1:39 p.m.