Triple

T10027094
Position Surface form Disambiguated ID Type / Status
Subject Put Your Back N 2 It E200757 entity
Predicate notableSingle P3283 FINISHED
Object Dark Parts E834951 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: Dark Parts | Statement: [Put Your Back N 2 It, notableSingle, Dark Parts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark Parts
Context triple: [Put Your Back N 2 It, notableSingle, Dark Parts]
  • A. Dark Parts chosen
    "Dark Parts" is a haunting, emotionally charged indie track by Perfume Genius that explores themes of trauma and protection with sparse instrumentation and intimate vocals.
  • B. After the Dark
    After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
  • C. Darkside
    Darkside is a track by the American funeral doom metal band Funeral, known for its slow, heavy atmosphere and melancholic tone.
  • D. Out of the Dark
    Out of the Dark is a collection of essays by Helen Keller in which she reflects on socialism, social justice, and her political beliefs.
  • E. From Darkness
    From Darkness is a British crime drama television series featuring Anne-Marie Duff as a former police officer drawn back into an investigation that forces her to confront her traumatic past.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2822bca308190ad2fad82653c6e74 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.