Triple

T20453223
Position Surface form Disambiguated ID Type / Status
Subject Blush E501707 entity
Predicate hasPart P35 FINISHED
Object Good in You
"Good in You" is a song by the South Korean girl group Blush, known for their pop sound and international appeal.
 E1431230 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: Good in You | Statement: [Blush, hasPart, Good in You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Good in You
Context triple: [Blush, hasPart, Good in You]
  • A. Good as You
    "Good as You" is a country-pop song by American singer Kane Brown that celebrates love and personal growth, released as a single from his album "Experiment."
  • B. 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.
  • C. The Good in Me
    "The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
  • D. Good Is Good
    "Good Is Good" is a pop-rock song by American singer-songwriter Sheryl Crow, known for its melodic hooks and reflective lyrics.
  • E. So Good
    "So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
  • 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: Good in You
Triple: [Blush, hasPart, Good in You]
Generated description
"Good in You" is a song by the South Korean girl group Blush, known for their pop sound and international appeal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Good in You
Target entity description: "Good in You" is a song by the South Korean girl group Blush, known for their pop sound and international appeal.
  • A. Good as You
    "Good as You" is a country-pop song by American singer Kane Brown that celebrates love and personal growth, released as a single from his album "Experiment."
  • B. 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.
  • C. The Good in Me
    "The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
  • D. Good Is Good
    "Good Is Good" is a pop-rock song by American singer-songwriter Sheryl Crow, known for its melodic hooks and reflective lyrics.
  • E. So Good
    "So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d039af08190827bf765b50515a8 completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08840caccc819082423d0dae166082 completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a08854ba1bc8190854e106993681272 completed May 16, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0886140858819088f0b09a9903dada completed May 16, 2026, 2:58 p.m.
Created at: April 16, 2026, 11:32 a.m.