Triple

T14559678
Position Surface form Disambiguated ID Type / Status
Subject One in a Million E341634 entity
Predicate hasPart P35 FINISHED
Object Giving You More
"Giving You More" is a song by Aaliyah from her 1996 album "One in a Million," showcasing her smooth R&B style and collaboration with producer Timbaland.
 E1107489 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: Giving You More | Statement: [One in a Million, hasPart, Giving You More]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giving You More
Context triple: [One in a Million, hasPart, Giving You More]
  • A. I Can Give You More
    "I Can Give You More" is a hip hop single by LL Cool J from his debut album "Radio."
  • B. The More the Better
    The More the Better is a monumental video sculpture by Korean artist Nam June Paik, renowned for its towering assemblage of television monitors and its role as an iconic work of media art.
  • C. Want More
    "Want More" is a reggae song by Bob Marley and the Wailers from their 1976 album *Rastaman Vibration*.
  • D. Give a Little More
    "Give a Little More" is a funk-influenced pop rock song by Maroon 5 from their third studio album, showcasing a upbeat groove and retro-inspired sound.
  • E. What More Do You Want
    "What More Do You Want" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
  • 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: Giving You More
Triple: [One in a Million, hasPart, Giving You More]
Generated description
"Giving You More" is a song by Aaliyah from her 1996 album "One in a Million," showcasing her smooth R&B style and collaboration with producer Timbaland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giving You More
Target entity description: "Giving You More" is a song by Aaliyah from her 1996 album "One in a Million," showcasing her smooth R&B style and collaboration with producer Timbaland.
  • A. I Can Give You More
    "I Can Give You More" is a hip hop single by LL Cool J from his debut album "Radio."
  • B. The More the Better
    The More the Better is a monumental video sculpture by Korean artist Nam June Paik, renowned for its towering assemblage of television monitors and its role as an iconic work of media art.
  • C. Want More
    "Want More" is a reggae song by Bob Marley and the Wailers from their 1976 album *Rastaman Vibration*.
  • D. Give a Little More
    "Give a Little More" is a funk-influenced pop rock song by Maroon 5 from their third studio album, showcasing a upbeat groove and retro-inspired sound.
  • E. What More Do You Want
    "What More Do You Want" is a song featured on the album *Some Lessons Learned* by Kristin Chenoweth.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac003b08190923d469b3422cdab completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8b2989288190812565b3b59ad1fc completed May 8, 2026, 7:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd8db224948190ac797626aa0c38ec completed May 8, 2026, 7:16 a.m.
Created at: April 10, 2026, 1:23 a.m.