Triple

T7081982
Position Surface form Disambiguated ID Type / Status
Subject Sweetener E164976 entity
Predicate containsTrack P3284 FINISHED
Object Get Well Soon
"Get Well Soon" is a song by Ariana Grande, featured as the introspective closing track on her 2018 album "Sweetener."
 E640211 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: Get Well Soon | Statement: [Sweetener, containsTrack, Get Well Soon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Get Well Soon
Context triple: [Sweetener, containsTrack, Get Well Soon]
  • A. Get Over It
    "Get Over It" is a pop song co-written by British singer-songwriter Amanda Ghost, known for its emotionally charged lyrics and melodic, radio-friendly sound.
  • B. Well Well Well
    "Well Well Well" is a raw, emotionally charged rock song by John Lennon from his 1970 album "John Lennon/Plastic Ono Band."
  • C. Just Wait
    "Just Wait" is a song by the American rock band Surfer Blood, known for their melodic indie rock sound.
  • D. Til the Medicine Takes
    "Til the Medicine Takes" is a 1999 studio album by American jam band Widespread Panic, blending Southern rock, jam, and psychedelic influences.
  • E. Good to You
    Good to You is a component or aspect of the broader concept of Quality, likely representing a specific feature, benefit, or value perceived as positive by an individual.
  • 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: Get Well Soon
Triple: [Sweetener, containsTrack, Get Well Soon]
Generated description
"Get Well Soon" is a song by Ariana Grande, featured as the introspective closing track on her 2018 album "Sweetener."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Get Well Soon
Target entity description: "Get Well Soon" is a song by Ariana Grande, featured as the introspective closing track on her 2018 album "Sweetener."
  • A. Get Over It
    "Get Over It" is a pop song co-written by British singer-songwriter Amanda Ghost, known for its emotionally charged lyrics and melodic, radio-friendly sound.
  • B. Well Well Well
    "Well Well Well" is a raw, emotionally charged rock song by John Lennon from his 1970 album "John Lennon/Plastic Ono Band."
  • C. Just Wait
    "Just Wait" is a song by the American rock band Surfer Blood, known for their melodic indie rock sound.
  • D. Til the Medicine Takes
    "Til the Medicine Takes" is a 1999 studio album by American jam band Widespread Panic, blending Southern rock, jam, and psychedelic influences.
  • E. Good to You
    Good to You is a component or aspect of the broader concept of Quality, likely representing a specific feature, benefit, or value perceived as positive by an individual.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e50f133c81908c5f7336fd5bc5d2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7947c32f081909340b05a46ae7bdd completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c79523b1e881909b7f31a20f03d4b3 completed March 28, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69c795e542d881909defeb4056898495 completed March 28, 2026, 8:48 a.m.
Created at: March 27, 2026, 2:40 p.m.