Triple

T8664577
Position Surface form Disambiguated ID Type / Status
Subject Bella Heathcote E205633 entity
Predicate notableWork P4 FINISHED
Object Pieces of Her E566066 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 Her | Statement: [Bella Heathcote, notableWork, Pieces of Her]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pieces of Her
Context triple: [Bella Heathcote, notableWork, Pieces of Her]
  • A. Pieces of Her chosen
    Pieces of Her is a thriller drama television series, based on Karin Slaughter’s novel, that follows a woman who discovers shocking secrets about her seemingly ordinary mother after a violent incident.
  • B. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • C. And She Was
    "And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
  • D. I’m With Her
    "I’m With Her" is the central campaign slogan used by Hillary Clinton during her 2016 U.S. presidential run, emphasizing support for her candidacy and gender milestone.
  • E. I’m With Her
    I’m With Her is an American folk and Americana supergroup trio known for its intricate harmonies and acoustic musicianship, featuring Sara Watkins, Sarah Jarosz, and Aoife O’Donovan.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a0ae108190b33dadcc3cb18949 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0d95ec81908669ee35f0987be7 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.