Triple

T15594989
Position Surface form Disambiguated ID Type / Status
Subject One to One E374868 entity
Predicate hasPart P35 FINISHED
Object One to One (song)
"One to One" is a song, likely a pop or rock track, recognized as a notable work sharing its title with the larger project or release it is part of.
 E1166720 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 to One (song) | Statement: [One to One, hasPart, One to One (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: One to One (song)
Context triple: [One to One, hasPart, One to One (song)]
  • A. One to One (album)
    One to One is a 1977 soul and R&B album by American singer-songwriter Syreeta Wright, showcasing her smooth vocals and collaborations with Stevie Wonder.
  • B. Only One
    "Only One" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
  • C. Want One
    "Want One" is a song by British singer-songwriter Rufus Wainwright, serving as the title track of his 2003 album of the same name.
  • D. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • E. One on One
    One on One is a novel by American author Tabitha King, known for its exploration of complex personal relationships and small-town life.
  • 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 to One (song)
Triple: [One to One, hasPart, One to One (song)]
Generated description
"One to One" is a song, likely a pop or rock track, recognized as a notable work sharing its title with the larger project or release it is part of.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: One to One (song)
Target entity description: "One to One" is a song, likely a pop or rock track, recognized as a notable work sharing its title with the larger project or release it is part of.
  • A. One to One (album)
    One to One is a 1977 soul and R&B album by American singer-songwriter Syreeta Wright, showcasing her smooth vocals and collaborations with Stevie Wonder.
  • B. Only One
    "Only One" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
  • C. Want One
    "Want One" is a song by British singer-songwriter Rufus Wainwright, serving as the title track of his 2003 album of the same name.
  • D. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • E. One on One
    One on One is a novel by American author Tabitha King, known for its exploration of complex personal relationships and small-town life.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff58687e4c8190a4054c4d5419a76a completed May 9, 2026, 3:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff58d92218819085877be120fdcc01 completed May 9, 2026, 3:55 p.m.
Created at: April 10, 2026, 4:12 a.m.