Triple

T11228344
Position Surface form Disambiguated ID Type / Status
Subject Patsy Cline E265750 entity
Predicate biographicalFilm P75959 FINISHED
Object Sweet Dreams E912918 NE FINISHED

How this triple was built (3 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: Sweet Dreams | Statement: [Patsy Cline, biographicalFilm, Sweet Dreams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Dreams
Context triple: [Patsy Cline, biographicalFilm, Sweet Dreams]
  • A. Sweet Dreams
    "Sweet Dreams" is a song best known as a synth-pop hit by Eurythmics that has become a classic of 1980s popular music.
  • B. Sweet Dreams
    "Sweet Dreams" is a hit electro-R&B single by Beyoncé, known for its haunting melody, synth-driven production, and prominent place in her "I Am... Sasha Fierce" era.
  • C. Sweet Dreams
    "Sweet Dreams" is a country song popularized by Emmylou Harris, known for its lush production and Harris's soaring vocal performance, and is one of her signature hits.
  • D. Sweet Dreams
    "Sweet Dreams" is a track featured on Lil Wayne's acclaimed mixtape "No Ceilings."
  • E. Sweet Dreams chosen
    "Sweet Dreams" is a classic country ballad most famously recorded by Patsy Cline, showcasing her emotive vocal style and becoming one of her signature songs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: biographicalFilm
Context triple: [Patsy Cline, biographicalFilm, Sweet Dreams]
  • A. genreOfBiographicalDepiction
    Indicates that one entity is the genre category assigned to a biographical depiction (such as a biographical film, book, or artwork) about another entity.
  • B. hasBiographicalTheme chosen
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • C. madeFamousByFilm
    Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
  • D. hasBiographicalStyle
    Indicates that something is characterized by or presented in a biographical manner or style.
  • E. filmBasedOn
    Indicates that a film is adapted from or derived from the story, characters, or events of another work.
  • F. None of above.

Provenance (4 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ff7b40819089c835be710bc575 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc4c630c8190a5e43c2108dfb50d completed April 19, 2026, 12:36 p.m.
PD Predicate disambiguation batch_69d75cfbbb188190861efd5d94fe27da completed April 9, 2026, 8:02 a.m.
Created at: April 8, 2026, 9:30 p.m.