Triple

T20831767
Position Surface form Disambiguated ID Type / Status
Subject No Hard Feelings E512844 entity
Predicate hasPart P35 FINISHED
Object Close To You
"Close To You" is a segment or component of the 2023 American coming-of-age comedy film "No Hard Feelings."
 E1454077 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: Close To You | Statement: [No Hard Feelings, hasPart, Close To You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Close To You
Context triple: [No Hard Feelings, hasPart, Close To You]
  • A. Close To You
    "Close To You" is a popular R&B/hip-hop track by American rapper and singer Dreezy featuring T-Pain, known for its smooth melody and romantic theme.
  • B. Close to You
    "Close to You" is a song by Barbadian singer Rihanna from her album "Anti," known for its emotional, piano-driven ballad style.
  • C. Close to You
    "Close to You" is a popular song by American singer-songwriter Gracie Abrams, known for its intimate lyrics and emotionally vulnerable indie-pop style.
  • D. Close to You
    "Close to You" is a hip hop album by rapper Father MC that showcases his smooth, R&B-influenced style and storytelling lyricism.
  • E. Close to You
    "Close to You" is a blues track featured on Stevie Ray Vaughan and Double Trouble’s posthumous compilation album *The Sky Is Crying*.
  • 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: Close To You
Triple: [No Hard Feelings, hasPart, Close To You]
Generated description
"Close To You" is a segment or component of the 2023 American coming-of-age comedy film "No Hard Feelings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Close To You
Target entity description: "Close To You" is a segment or component of the 2023 American coming-of-age comedy film "No Hard Feelings."
  • A. Close To You
    "Close To You" is a popular R&B/hip-hop track by American rapper and singer Dreezy featuring T-Pain, known for its smooth melody and romantic theme.
  • B. Close to You
    "Close to You" is a song by Barbadian singer Rihanna from her album "Anti," known for its emotional, piano-driven ballad style.
  • C. Close to You
    "Close to You" is a popular song by American singer-songwriter Gracie Abrams, known for its intimate lyrics and emotionally vulnerable indie-pop style.
  • D. Close to You
    "Close to You" is a hip hop album by rapper Father MC that showcases his smooth, R&B-influenced style and storytelling lyricism.
  • E. Close to You
    "Close to You" is a blues track featured on Stevie Ray Vaughan and Double Trouble’s posthumous compilation album *The Sky Is Crying*.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3224e788190bfc4d3dcbaa674a7 completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090afb35248190920cb47cfc313be9 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bc252dc8190a96a98b2160826b5 completed May 17, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a090cc818b4819089ed588d3e460aa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:42 p.m.