Triple

T11945263
Position Surface form Disambiguated ID Type / Status
Subject The Human Condition E284279 entity
Predicate hasPart P35 FINISHED
Object 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.
 E955252 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: The Good in Me | Statement: [The Human Condition, hasPart, The Good in Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Good in Me
Context triple: [The Human Condition, hasPart, The Good in 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. 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.
  • D. 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."
  • E. The Love in Me
    "The Love in Me" is a song featured on the Christian music album "Something About Faith."
  • 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: The Good in Me
Triple: [The Human Condition, hasPart, The Good in Me]
Generated description
"The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Good in Me
Target entity description: "The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
  • 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. 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.
  • D. 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."
  • E. The Love in Me
    "The Love in Me" is a song featured on the Christian music album "Something About Faith."
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440ac6c68819094bd27058d13cd4d completed May 1, 2026, 5:57 a.m.
NEDg Description generation batch_69f448fd4b908190a4f08619d346bec8 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b08da6c8190ae62d8e892bf1971 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.