Triple

T16676993
Position Surface form Disambiguated ID Type / Status
Subject Garbage E405236 entity
Predicate album P1995 FINISHED
Object 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.
 E1228031 NE FINISHED

How this triple was built (4 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: Bleed Like Me | Statement: [Garbage, album, Bleed Like Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bleed Like Me
Context triple: [Garbage, album, Bleed Like Me]
  • A. Bleeding Me
    "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. I Bleed
    "I Bleed" is a song by the American alternative rock band Pixies from their influential 1989 album *Doolittle*.
  • C. Bleed for This
    Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
  • D. Bleed Out
    "Bleed Out" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic rock sound.
  • E. Bleed Out
    "Bleed Out" is a song by the American rock band Sway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bleed Like Me
Triple: [Garbage, album, Bleed Like Me]
Generated description
Bleed Like Me is the fourth studio album by American alternative rock band Garbage, known for its heavier guitar-driven sound and confessional lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bleed Like Me
Target entity description: Bleed Like Me is the fourth studio album by American alternative rock band Garbage, known for its heavier guitar-driven sound and confessional lyrics.
  • A. Bleeding Me
    "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. I Bleed
    "I Bleed" is a song by the American alternative rock band Pixies from their influential 1989 album *Doolittle*.
  • C. Bleed for This
    Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
  • D. Bleed Out
    "Bleed Out" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic rock sound.
  • E. Bleed Out
    "Bleed Out" is a song by the American rock band Sway.
  • F. None of above. chosen

Provenance (5 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b5135788190af6cfca6cb333d26 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008bee78248190b920d780bcbd3032 completed May 10, 2026, 1:45 p.m.
Created at: April 10, 2026, 5:19 a.m.