Triple

T6349809
Position Surface form Disambiguated ID Type / Status
Subject Ne-Yo E142839 entity
Predicate notableWork P4 FINISHED
Object One in a Million
"One in a Million" is an R&B song by American singer-songwriter Ne-Yo, known for its smooth production and romantic lyrics.
 E587301 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: One in a Million | Statement: [Ne-Yo, notableWork, One in a Million]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: One in a Million
Context triple: [Ne-Yo, notableWork, One in a Million]
  • A. One in a Million
    "One in a Million" is Aaliyah's influential 1996 R&B album that helped redefine the genre with its innovative production and smooth, futuristic sound.
  • B. A Million to One
    "A Million to One" is a doo-wop ballad best known for its romantic, pleading lyrics and classic 1960s vocal harmony style.
  • C. A Million Love Songs
    "A Million Love Songs" is a romantic pop ballad by British boy band Take That, released in 1992 and known for its soulful melody and heartfelt lyrics.
  • D. 22, A Million
    22, A Million is an experimental, genre-blending album by Bon Iver known for its fragmented song structures, heavy electronic manipulation, and introspective, cryptic lyricism.
  • E. One and Only
    "One and Only" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • 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: One in a Million
Triple: [Ne-Yo, notableWork, One in a Million]
Generated description
"One in a Million" is an R&B song by American singer-songwriter Ne-Yo, known for its smooth production and romantic lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: One in a Million
Target entity description: "One in a Million" is an R&B song by American singer-songwriter Ne-Yo, known for its smooth production and romantic lyrics.
  • A. One in a Million
    "One in a Million" is Aaliyah's influential 1996 R&B album that helped redefine the genre with its innovative production and smooth, futuristic sound.
  • B. A Million to One
    "A Million to One" is a doo-wop ballad best known for its romantic, pleading lyrics and classic 1960s vocal harmony style.
  • C. A Million Love Songs
    "A Million Love Songs" is a romantic pop ballad by British boy band Take That, released in 1992 and known for its soulful melody and heartfelt lyrics.
  • D. 22, A Million
    22, A Million is an experimental, genre-blending album by Bon Iver known for its fragmented song structures, heavy electronic manipulation, and introspective, cryptic lyricism.
  • E. One and Only
    "One and Only" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067bcec2c8190bb383605847b0f0b completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6044fcd288190abdc5746e2904928 completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6083573c48190ba629b72cbaf4ef3 completed March 27, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c6092e12d481909b41fd35d6ae1d57 completed March 27, 2026, 4:35 a.m.
Created at: March 22, 2026, 4:31 p.m.