Triple

T10245136
Position Surface form Disambiguated ID Type / Status
Subject Melina Matsoukas E240193 entity
Predicate notableWork P4 FINISHED
Object Pretty Hurts (music video) E731831 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: Pretty Hurts (music video) | Statement: [Melina Matsoukas, notableWork, Pretty Hurts (music video)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pretty Hurts (music video)
Context triple: [Melina Matsoukas, notableWork, Pretty Hurts (music video)]
  • A. Pretty Hurts
    "Pretty Hurts" is a pop-R&B song by Beyoncé that critiques society’s obsession with physical perfection and the pressures of beauty standards.
  • B. Pretty Hurts (performed by Beyoncé) chosen
    "Pretty Hurts" is a pop-R&B ballad by Beyoncé that critiques society’s obsession with physical perfection and beauty standards.
  • C. Unpretty
    "Unpretty" is a 1999 R&B song by American girl group TLC that addresses themes of self-esteem, body image, and societal beauty standards.
  • D. I Feel Pretty
    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.
  • E. Accent in Pink
    Accent in Pink is an abstract painting by Russian artist Wassily Kandinsky, characterized by its dynamic composition and vibrant interplay of geometric forms and color.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22be0208190b671a4e3f81d11b8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f79c20e08190928d061b3d4b4e47 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.