Triple

T19671930
Position Surface form Disambiguated ID Type / Status
Subject Unbreakable E472353 entity
Predicate hasTrack P3284 FINISHED
Object One in a Million
"One in a Million" is a song featured on the Backstreet Boys' album "Unbreakable."
 E1390191 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: [Unbreakable, hasTrack, One in a Million]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: One in a Million
Context triple: [Unbreakable, hasTrack, One in a Million]
  • A. One in a Million
    "One in a Million" is a country song by American singer Johnny Lee, best known for its romantic theme and traditional country style.
  • B. One in a Million
    "One in a Million" is a controversial hard rock song by Guns N' Roses, known for its provocative lyrics and appearance on their 1988 album G N' R Lies.
  • C. 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.
  • D. 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.
  • E. Two in a Million
    "Two in a Million" is a pop ballad by British group S Club 7, known for its romantic lyrics and smooth, melodic style that helped establish the band's late-1990s chart success.
  • 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: [Unbreakable, hasTrack, One in a Million]
Generated description
"One in a Million" is a song featured on the Backstreet Boys' album "Unbreakable."
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 a song featured on the Backstreet Boys' album "Unbreakable."
  • 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. 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.
  • C. One in a Million
    "One in a Million" is a country song by American singer Johnny Lee, best known for its romantic theme and traditional country style.
  • D. One in a Million
    "One in a Million" is a controversial hard rock song by Guns N' Roses, known for its provocative lyrics and appearance on their 1988 album G N' R Lies.
  • E. Two in a Million
    "Two in a Million" is a pop ballad by British group S Club 7, known for its romantic lyrics and smooth, melodic style that helped establish the band's late-1990s chart success.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416cb0bc8190ab27dd28eebb50e7 completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787be755881908a8fa644690fd583 completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a0788b82bb88190a81764480e324028 completed May 15, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a078a0b7a7c8190adb44f9f20e0b6ff completed May 15, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:45 p.m.