Triple

T21611563
Position Surface form Disambiguated ID Type / Status
Subject Marry Me (album) E533320 entity
Predicate hasSingle P3282 FINISHED
Object Marry Me
"Marry Me" is a pop song best known as the romantic, wedding-themed single from Jason Derulo’s 2013 album of the same name.
E1493382 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: Marry Me | Statement: [Marry Me (album), hasSingle, Marry Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marry Me
Context triple: [Marry Me (album), hasSingle, Marry Me]
  • A. Marry Me
    "Marry Me" is a song featured on Yemi Alade’s album *Mama Africa*, showcasing her Afro-pop style and vibrant vocal performance.
  • B. Marry Me
    "Marry Me" is a 2022 romantic comedy film starring Jennifer Lopez and Owen Wilson, centered on a pop star who impulsively marries a stranger from the crowd during a live concert.
  • C. Marry Me
    Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
  • D. Marry Me
    "Marry Me" is a pop-rock song by the American band Train, best known as a romantic ballad that became popular at weddings and on adult contemporary radio.
  • E. Marry Me (album)
    "Marry Me" is a pop album by English singer-songwriter Olly Murs, showcasing his upbeat, radio-friendly style and catchy, contemporary tracks.
  • 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: Marry Me
Triple: [Marry Me (album), hasSingle, Marry Me]
Generated description
"Marry Me" is a pop song best known as the romantic, wedding-themed single from Jason Derulo’s 2013 album of the same name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marry Me
Target entity description: "Marry Me" is a pop song best known as the romantic, wedding-themed single from Jason Derulo’s 2013 album of the same name.
  • A. Marry Me
    Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
  • B. Marry Me
    "Marry Me" is a song featured on Yemi Alade’s album *Mama Africa*, showcasing her Afro-pop style and vibrant vocal performance.
  • C. Marry Me
    "Marry Me" is a 2022 romantic comedy film starring Jennifer Lopez and Owen Wilson, centered on a pop star who impulsively marries a stranger from the crowd during a live concert.
  • D. Marry Me
    "Marry Me" is a pop-rock song by the American band Train, best known as a romantic ballad that became popular at weddings and on adult contemporary radio.
  • E. Marry Me (album)
    "Marry Me" is a pop album by English singer-songwriter Olly Murs, showcasing his upbeat, radio-friendly style and catchy, contemporary tracks.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e88f7081909371bc0de2147609 completed April 27, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd3d0d9881909d04a901cf65c211 completed May 17, 2026, 5:39 p.m.
NEDg Description generation batch_6a0a0c1bb6188190966c2db0f61048f7 completed May 17, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0a0cb1b9d08190aa0edccd5a49b289 completed May 17, 2026, 6:45 p.m.
Created at: April 16, 2026, 6:33 p.m.