Triple

T16953691
Position Surface form Disambiguated ID Type / Status
Subject Above & Beyond E411243 entity
Predicate notableSong P4 FINISHED
Object Good For Me
"Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
 E1243037 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 For Me | Statement: [Above & Beyond, notableSong, Good For Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Good For Me
Context triple: [Above & Beyond, notableSong, Good For Me]
  • A. Good for Me
    "Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
  • B. Good To Me
    "Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
  • 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 to Be Me
    "Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
  • E. Good to Me As I Am to You
    "Good to Me As I Am to You" is a soulful R&B song by Aretha Franklin, featured on her acclaimed 1968 album "Lady Soul."
  • 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 For Me
Triple: [Above & Beyond, notableSong, Good For Me]
Generated description
"Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Good For Me
Target entity description: "Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
  • A. Good for Me
    "Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
  • B. Good To Me
    "Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
  • 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 to Be Me
    "Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
  • E. Good to Me As I Am to You
    "Good to Me As I Am to You" is a soulful R&B song by Aretha Franklin, featured on her acclaimed 1968 album "Lady Soul."
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01a4ae8819085a6ce01fbc71b0f completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d464762c8190a734ffdd83633f70 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d53422408190ba91624194333c13 completed May 10, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5adee908190a13bfc765e7c8f06 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.