Triple

T9869678
Position Surface form Disambiguated ID Type / Status
Subject Maria E239923 entity
Predicate songAssociated P2152 FINISHED
Object I Feel Pretty E366051 NE FINISHED

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: I Feel Pretty | Statement: [Maria, songAssociated, I Feel Pretty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Feel Pretty
Context triple: [Maria, songAssociated, I Feel Pretty]
  • A. I Feel Pretty chosen
    I Feel Pretty is a 2018 American comedy film starring Amy Schumer as a woman who gains unshakable confidence after believing she has been transformed physically.
  • B. Reasons to Be Pretty
    Reasons to Be Pretty is a contemporary stage play by Neil LaBute that explores themes of beauty, insecurity, and relationships through sharp, often darkly comic dialogue.
  • C. Biutyful
    "Biutyful" is a song by the British rock band Coldplay from their space-themed concept album "Music of the Spheres."
  • D. Sitting Pretty
    Sitting Pretty is a stage comedy co-written by British playwright Guy Bolton, known for its lighthearted humor and sophisticated dialogue.
  • E. Getting the Pretty Back
    Getting the Pretty Back is a lifestyle and advice book by actress Molly Ringwald that offers reflections on aging, beauty, and confidence for women.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d498b481908f82f31f98b57c7e completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46209988190b97aefee6cbddbad completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.