Triple

T23207405
Position Surface form Disambiguated ID Type / Status
Subject Casey Wilson E580496 entity
Predicate notableWork P4 FINISHED
Object Marry Me — NE NERFINISHED

How this triple was built (2 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: [Casey Wilson, notableWork, Marry Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marry Me
Context triple: [Casey Wilson, notableWork, Marry Me]
  • 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 chosen
    "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
    "Marry Me" is a pop song best known as the romantic, wedding-themed single from Jason Derulo’s 2013 album of the same name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907d8be08190a100d99efaff9964 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.