Triple

T15121155
Position Surface form Disambiguated ID Type / Status
Subject Baby E361174 entity
Predicate chronologyNextTitle P26896 FINISHED
Object Never Let You Go
"Never Let You Go" is a pop song by Justin Bieber that followed his hit single "Baby" in his early discography.
 E1138364 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: Never Let You Go | Statement: [Baby, chronologyNextTitle, Never Let You Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Never Let You Go
Context triple: [Baby, chronologyNextTitle, Never Let You Go]
  • A. Never Let Me Go
    "Never Let Me Go" is a dramatic, atmospheric pop ballad by Florence and the Machine known for its haunting vocals and themes of surrender and emotional turmoil.
  • B. Never Let Me Go
    "Never Let Me Go" is a dance-pop song by Brazilian DJ and producer Bruno Martini, known for its melodic hooks and electronic production.
  • C. Never Let Me Go
    Never Let Me Go is a song by the South Korean girl group Spectrum, released prior to their track "Say My Name."
  • D. Leaving Time
    Leaving Time is a bestselling contemporary novel by Jodi Picoult that blends mystery, family drama, and the emotional bond between a missing mother and her daughter.
  • E. The End We Start From
    The End We Start From is a 2017 dystopian literary novel by Megan Hunter that follows a new mother navigating a flooded, post-apocalyptic Britain.
  • 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: Never Let You Go
Triple: [Baby, chronologyNextTitle, Never Let You Go]
Generated description
"Never Let You Go" is a pop song by Justin Bieber that followed his hit single "Baby" in his early discography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Never Let You Go
Target entity description: "Never Let You Go" is a pop song by Justin Bieber that followed his hit single "Baby" in his early discography.
  • A. Never Let Me Go
    "Never Let Me Go" is a dramatic, atmospheric pop ballad by Florence and the Machine known for its haunting vocals and themes of surrender and emotional turmoil.
  • B. Never Let Me Go
    "Never Let Me Go" is a dance-pop song by Brazilian DJ and producer Bruno Martini, known for its melodic hooks and electronic production.
  • C. Never Let Me Go
    Never Let Me Go is a song by the South Korean girl group Spectrum, released prior to their track "Say My Name."
  • D. Leaving Time
    Leaving Time is a bestselling contemporary novel by Jodi Picoult that blends mystery, family drama, and the emotional bond between a missing mother and her daughter.
  • E. The End We Start From
    The End We Start From is a 2017 dystopian literary novel by Megan Hunter that follows a new mother navigating a flooded, post-apocalyptic Britain.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f2e3408190ae095d16396e420d completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb99b6a108190ba389703bc123e17 completed May 9, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69feba50cd3c81909c4c14c6a7510dd4 completed May 9, 2026, 4:38 a.m.
Created at: April 10, 2026, 3:06 a.m.