Triple

T2532577
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Kirby E56194 entity
Predicate notableWork P4 FINISHED
Object Pieces of a Woman E271296 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: Pieces of a Woman | Statement: [Vanessa Kirby, notableWork, Pieces of a Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pieces of a Woman
Context triple: [Vanessa Kirby, notableWork, Pieces of a Woman]
  • A. Pieces of a Woman chosen
    Pieces of a Woman is a 2020 emotional drama film that follows a woman's harrowing journey through grief and personal reckoning after a traumatic home birth.
  • B. Part of Me
    "Part of Me" is a song by Christina Aguilera from her 2010 album *Bionic*, known for its electronic pop sound and introspective lyrics.
  • C. Part of Me
    "Part of Me" is a 2012 3D concert documentary film that follows pop star Katy Perry on her California Dreams Tour while blending live performances with behind-the-scenes footage of her personal and professional life.
  • D. Watch Over Me
    Watch Over Me is an American telenovela-style drama television series that aired on MyNetworkTV in the mid-2000s, centered on romance, intrigue, and personal security.
  • E. She Said
    "She Said" is a 2022 drama film that chronicles The New York Times investigation into Harvey Weinstein’s sexual misconduct, helping to ignite the #MeToo movement.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd279cf108190b03fb6e0265f39d9 completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bb9c37081909128d7a227651c8b completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:47 p.m.