Triple

T22129811
Position Surface form Disambiguated ID Type / Status
Subject Load E546877 entity
Predicate hasTrack P3284 FINISHED
Object Bleeding Me NE NERFINISHED

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: Bleeding Me | Statement: [Load, hasTrack, Bleeding Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleeding Me
Context triple: [Load, hasTrack, Bleeding Me]
  • A. Bleeding Me chosen
    "Bleeding Me" is a dark, introspective heavy metal song by Metallica from their 1996 album *Load*, known for its lengthy, evolving structure and emotionally charged lyrics.
  • B. Bleed for Me
    "Bleed for Me" is a song by the Swedish heavy metal band Saliva, featured on their 2004 album "Survival of the Sickest."
  • C. Bleed Like Me
    Bleed Like Me is the fourth studio album by American alternative rock band Garbage, known for its heavier guitar-driven sound and confessional lyrics.
  • D. Until I Bleed Out
    "Until I Bleed Out" is a moody, atmospheric track by The Weeknd that closes his 2020 album *After Hours* with themes of emotional exhaustion and heartbreak.
  • E. Bleed
    "Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129851db8819082d50bbb73670bf6 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.